WO2022017289A1 - Communication control method, base station, terminal, and storage medium - Google Patents

Communication control method, base station, terminal, and storage medium Download PDF

Info

Publication number
WO2022017289A1
WO2022017289A1 PCT/CN2021/106836 CN2021106836W WO2022017289A1 WO 2022017289 A1 WO2022017289 A1 WO 2022017289A1 CN 2021106836 W CN2021106836 W CN 2021106836W WO 2022017289 A1 WO2022017289 A1 WO 2022017289A1
Authority
WO
WIPO (PCT)
Prior art keywords
terminal
codebooks
signal
channel quality
base station
Prior art date
Application number
PCT/CN2021/106836
Other languages
French (fr)
Chinese (zh)
Inventor
裴璐
Original Assignee
中兴通讯股份有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 中兴通讯股份有限公司 filed Critical 中兴通讯股份有限公司
Publication of WO2022017289A1 publication Critical patent/WO2022017289A1/en

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00Arrangements for detecting or preventing errors in the information received
    • H04L1/0001Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H04L1/0023Systems modifying transmission characteristics according to link quality, e.g. power backoff characterised by the signalling
    • H04L1/0026Transmission of channel quality indication
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00Arrangements for detecting or preventing errors in the information received
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00Arrangements for detecting or preventing errors in the information received
    • H04L1/0001Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H04L1/0009Systems modifying transmission characteristics according to link quality, e.g. power backoff by adapting the channel coding

Definitions

  • the present application relates to the field of wireless communication technologies, and in particular, to a communication control method, a base station, a terminal, and a storage medium.
  • the base station can obtain the channel quality according to the historical channel or the channel quality information reported by the terminal, but the channel quality obtained by the base station in these two ways is the channel quality of the past time. Therefore, the base station can obtain the channel quality according to the channel quality of the past time If the modulation and coding strategy indication and the precoding matrix indication are provided to the terminal, there will be a certain error, so that the service capacity of the system cannot be effectively improved.
  • An embodiment of the present application provides a communication control method, including: receiving multiple periodic channel sounding reference signals and multiple uplink channel measurement information sent by a terminal; measuring multiple periodic channel sounding reference signals according to several codebooks, and establishing and communicating with each ARIMA model corresponding to the codebook; adjust each ARIMA model according to multiple uplink channel measurement information, and obtain the first prediction model corresponding to each codebook; when performing uplink authorization for the terminal, input the uplink time of the terminal into each first prediction model In the model, the estimated value of the uplink channel quality corresponding to each codebook is obtained; the modulation and coding strategy of the terminal is determined according to the estimated value of each uplink channel quality, and one of several codebooks is determined as the target codebook; according to the modulation and coding strategy and the target codebook to authorize the terminal.
  • An embodiment of the present application further provides a communication control method, including: receiving multiple periodic channel state information reference signals and multiple downlink channel measurement information sent by a base station; measuring multiple periodic channel state information reference signals according to several codebooks, Establish an ARIMA model corresponding to each codebook; adjust each ARIMA model according to multiple downlink channel measurement information to obtain a second prediction model corresponding to each codebook; when reporting the channel state information report to the base station, input the downlink time of the terminal In each second prediction mode, the downlink channel quality estimated value corresponding to each codebook is obtained; according to each downlink channel quality estimated value, determine the downlink channel quality indication of the terminal and determine one in several codebooks as the target codebook; The downlink signal quality indication and the target codebook are reported to the base station.
  • An embodiment of the present application further provides a base station, including a processor and a memory; the memory is used for storing a computer program; the processor is used for executing the computer program and implementing the above communication control method when the computer program is executed.
  • An embodiment of the present application further provides a terminal, including a processor and a memory; the memory is used for storing a computer program; and the processor is used for executing the computer program and implementing the above communication control method when the computer program is executed.
  • Embodiments of the present application further provide a computer-readable storage medium, where the computer-readable storage medium stores a computer program, and when the computer program is executed by the processor, the processor can implement the communication control method as in the first aspect, or as in the second aspect communication control method.
  • FIG. 1 is a schematic diagram of an optional application scenario provided according to various embodiments of the present application.
  • FIG. 2 is a schematic flowchart of a communication control method provided according to an embodiment of the present application.
  • step S120 in a communication control method provided according to an embodiment of the present application
  • Fig. 4 is a kind of curve schematic diagram of prediction based on ARIMA model
  • FIG. 5 is a schematic flowchart of step S130 in the communication control method provided according to an embodiment of the present application.
  • FIG. 6 is a schematic flowchart of step S150 in the communication control method provided according to an embodiment of the present application.
  • FIG. 7 is a schematic flowchart of a communication control method provided according to another embodiment of the present application.
  • step S220 is a schematic flowchart of step S220 in a communication control method provided according to another embodiment of the present application.
  • step S230 is a schematic flowchart of step S230 in a communication control method provided according to another embodiment of the present application.
  • FIG. 10 is a schematic flowchart of step S250 in a communication control method provided according to another embodiment of the present application.
  • FIG. 11 is a schematic block diagram of a base station provided according to an embodiment of the present application.
  • FIG. 12 is a schematic block diagram of a terminal provided according to an embodiment of the present application.
  • the base station can provide the terminal with a reasonable Modulation and Coding Scheme (MCS) and Precoding Matrix Indicator (PMI) according to the channel quality to improve the service capacity of the wireless communication system.
  • MCS Modulation and Coding Scheme
  • PMI Precoding Matrix Indicator
  • the key to improving service capacity lies in the channel quality acquired by the base station.
  • the base station can obtain the channel quality according to the historical channel or the channel quality information reported by the terminal, but the channel quality obtained by the base station in these two ways is the channel quality of the past time. Therefore, the base station can obtain the channel quality according to the channel quality of the past time If the modulation and coding strategy indication and the precoding matrix indication are provided to the terminal, there will be a certain error, so that the service capacity of the system cannot be effectively improved.
  • Embodiments of the present application provide a communication control method, a base station, a terminal, and a storage medium, which aim to obtain more accurate channel quality to improve service capacity.
  • a communication control method provided by an embodiment of the present application can be applied to an application scenario as shown in FIG. 1 , and the method provided by an embodiment of the present application can be applied to a terminal 10.
  • the terminal 10 is, for example, a mobile terminal, and the mobile terminal can be a mobile phone , tablet computers, notebook computers, desktop computers, personal digital assistants, wearable devices and other electronic devices; in addition, the methods provided in the embodiments of the present application can also be applied to the base station 20 .
  • the base station 20 may be connected to multiple terminals 10 , that is, the base station 20 may schedule multiple terminals 10 .
  • a communication control method provided by an embodiment of the present application can be used for a base station. As shown in FIG. 2 , the method may include but not limited to steps S110 to S160.
  • Step S110 Receive multiple periodic channel sounding reference signals and multiple uplink channel measurement information sent by the terminal.
  • the uplink reference signal can be divided into two categories, one is a demodulation reference signal, and the demodulation reference signal can be transmitted simultaneously with a physical uplink shared channel (Physical Shared Channel, PUSCH) for data demodulation ;
  • the other is the channel sounding reference signal (Sounding Reference Signal, SRS), which is mainly used for channel quality estimation, and the channel sounding reference signal can be divided into two categories, one is the periodic channel sounding reference signal, and the other is aperiodic. Channel sounding reference signal.
  • SRS Sounding Reference Signal
  • the base station can receive the periodic channel sounding reference signal sent by the terminal within a set time length L for establishing an ARIMA model (Autoregressive Integrated Moving Average model, differential integrated moving average autoregressive model).
  • the base station may also receive multiple uplink channel measurement information, such as measurement information generated by the terminal measuring the physical uplink shared channel, for adjusting the established ARIMA model.
  • the set time length L may be configured according to different application scenarios.
  • the base station may first receive multiple periodic channel sounding reference signals to establish an ARIMA model, and then receive multiple uplink channel measurement information to adjust the established ARIMA model.
  • Step S120 Measure multiple periodic channel sounding reference signals according to several codebooks, and establish an ARIMA model corresponding to each codebook.
  • the base station receiving the periodic channel sounding reference signal is more conducive to the accumulation of data, that is, the ARIMA model can be established in a short time, which enables the base station to predict according to the first prediction model in the subsequent process. The results obtained are more precise.
  • the base station can measure each periodic channel sounding reference signal according to several codebooks, and then establish several ARIMA models corresponding to each codebook, where the codebook can be an antenna precoding matrix that the terminal can support during uplink transmission .
  • the base station can measure multiple periodic channel sounding reference signals according to the N codebooks, thereby establishing N ARIMA models, one of which is a codebook.
  • N is an integer greater than 1.
  • step S120 may include, but is not limited to, sub-steps S121 and S122.
  • Sub-step S121 Measure each periodic channel sounding reference signal according to several codebooks, and obtain a signal-to-interference-noise ratio time series corresponding to each codebook.
  • the base station can use several codebooks to measure the signal respectively, so as to obtain several signal-to-interference-noise ratio values corresponding to each codebook, for example, the base station can use N
  • Each codebook is used to measure a periodic channel sounding reference signal, so that N SNR values can be obtained. Therefore, it can be understood that if several codebooks are used to measure multiple periodic channel sounding reference signals, and multiple SIR values corresponding to the same codebook are placed in the same sequence, multiple SIRs can be obtained.
  • Noise ratio time series that is, a signal-to-interference-to-noise ratio time series corresponds to a codebook.
  • the terminal can support three antenna precoding matrices during uplink transmission, and the base station receives four periodic channel sounding reference signals sent by the terminal, the base station can measure these four according to the three codebooks.
  • signal to obtain four SINR time series which are the first SINR time series corresponding to the first codebook, such as ⁇ 1_SINR1, 1_SINR2, 1_SINR3, 1_SINR4 ⁇ , and the first signal to interference and noise ratio time series corresponding to the second codebook.
  • Two SINR time series such as ⁇ 2_SINR1, 2_SINR2, 2_SINR3, 2_SINR4 ⁇
  • a third SINR time series corresponding to the third codebook such as ⁇ 3_SINR1, 3_SINR2, 3_SINR3, 3_SINR4 ⁇ .
  • an ARIMA model corresponding to each SINR time series is established based on each SINR time series.
  • the base station may establish a corresponding ARIMA model according to a signal-to-interference-to-noise ratio time series, and it can be understood that an ARIMA model also corresponds to a codebook. Therefore, the base station can establish several corresponding ARIMA models according to several SINR time series. The following is a brief description of the modeling process by taking a signal-to-interference-to-noise ratio time series to establish an ARIMA model as an example.
  • the signal-to-interference-to-noise ratio time series can be processed smoothly according to the path loss. Based on this, the signal-to-interference-to-noise ratio time series can be stationary processed by the following formula:
  • SINR(t) represents the signal-to-interference-noise ratio value at time t
  • P SRS represents the average transmit power to each frequency resource
  • C is a constant and its size can be determined according to different application scenarios
  • d(t) represents a Stationed time series.
  • a relatively stable signal-to-interference-to-noise ratio time series can be obtained by processing the signal-to-interference-to-noise ratio time series within two times according to the aforementioned method.
  • the ARIMA model can be written as ARIMA(p,d,q), where p represents the autoregressive term, q represents the moving average term, and d represents the number of differences that the time series becomes a stationary time series.
  • p represents the autoregressive term
  • q represents the moving average term
  • d represents the number of differences that the time series becomes a stationary time series.
  • the three model parameters of the ARIMA model can be determined first, and then the ARIMA model is established, which will be briefly discussed below.
  • the size of the parameter d depends on the number of processing in the aforementioned step 1), for example, if one processing is performed in step 1), d is equal to 1.
  • the parameter p and the parameter q may be determined according to the Akaike Information Criterion (AIC) and the Bayesian Information Criterion (BIC). For example, a set of p values and q values can determine a set of AIC values and BIC values, then traversing multiple sets of p values and q values can obtain multiple sets of AIC values and BIC values, so you can choose the smallest set of AIC values and BIC values. The BIC value and the corresponding set of p values and q values are determined according to the set of AIC values and BIC values, and the set of p values and q values are the parameter p and the parameter q.
  • AIC Akaike Information Criterion
  • BIC Bayesian Information Criterion
  • the ARIMA model can be regarded as a differentiated ARMA model (Autoregressive moving average model), and the ARMA model can be recorded as ARMA(p,q), in other words, ARIMA(p,d,q) can be regarded as a differentiated ARMA model.
  • ARMA(p,q), ARMA(p,q) can be regarded as the following formula:
  • y t represents the value of the signal-to-interference noise ratio time series at time t
  • is a constant
  • ⁇ t represents the value of the white noise sequence with mean 0 and variance ⁇ at time t
  • ⁇ i represents the autocorrelation coefficient
  • ⁇ i represents the moving average parameter
  • p and q are model parameters.
  • the ARMA model can be regarded as a degraded AR model (Autoregressive model, autoregressive model) or MA model (moving average model, moving average model).
  • the AR model can be recorded as AR(p), and AR(p) can be seen as Make the following formula:
  • y t represents the value of the signal-to-interference-noise ratio time series at time t
  • ⁇ 1 is a constant
  • ⁇ i represents the autocorrelation coefficient
  • p is the model parameter
  • MA(q) can be Consider the following formula:
  • y t represents the value of the signal-to-interference noise ratio time series at time t
  • ⁇ 2 is a constant
  • ⁇ t represents the value of the white noise sequence with mean 0 and variance ⁇ at time t
  • ⁇ i represents the moving average parameter
  • q are model parameters.
  • the ARMA model, the AR model or the MA model can be determined to be used for modeling according to the signal-to-interference-to-noise ratio time series. For example, it can be determined according to the autocorrelation function (Autocorrelation Function, ACF) and the partial autocorrelation function (Partial Autocorrelation Function, PACF) of the signal-to-interference-noise ratio time series.
  • ACF Autocorrelation Function
  • PACF Partial Autocorrelation Function
  • the AR model is used for modeling, that is, AR(p) is used to fit the SNR time series; if the SNR time series is The ACF of q-order truncation and its PACF is tailing, then the MA model is used for modeling, that is, MA(q) is used to fit the SNR time series; if the ACF of the SNR time series is tailing and PACF is also tailing, so the ARMA model is used for modeling, that is, ARMA(p,q) is used to fit the signal-to-interference-noise ratio time series. Based on this, on the basis of determining which model to use for modeling, the ARIMA model can be established according to the p parameter, the q parameter determined in step a), and several SINR values in the SINR time series.
  • Step S130 Adjust each ARIMA model according to the plurality of uplink channel measurement information to obtain a first prediction model corresponding to each codebook.
  • the base station can only input the terminal uplink time of the next cycle into the ARIMA model to obtain the corresponding uplink channel quality estimation value.
  • the base station can only obtain the channel quality of the SRS at the future time t+T, but in fact the current time t and the future time Any time between t+T SRS may be the terminal uplink time.
  • ARIMA models can be adjusted according to multiple uplink channel measurement information, and several first prediction models can be obtained. It is understandable that is a first prediction model corresponding to a codebook.
  • step S130 may include, but is not limited to, sub-steps S131 and S132.
  • Step S131 Determine a plurality of adjustment parameters according to the plurality of uplink channel measurement information, and the adjustment parameters include a signal-to-interference-to-noise ratio value and a codebook corresponding to the signal-to-interference and noise ratio value.
  • Step S132 Adjust each ARIMA model according to the plurality of adjustment parameters to obtain each first prediction model.
  • the base station may determine an adjustment parameter according to an uplink channel measurement information, where the adjustment parameter includes a signal-to-interference-to-noise ratio value and a codebook corresponding to the signal-to-interference-noise ratio value, so the codebook corresponding to the signal-to-interference-noise ratio value can be determined according to the codebook
  • the corresponding ARIMA model, and the signal-to-interference-noise ratio value can be used to adjust the ARIMA model, and a first prediction model can be obtained after adjustment. Therefore, it can be understood that a plurality of adjustment parameters can be determined according to a plurality of uplink channel measurement information, and then a plurality of ARIMA models can be adjusted to obtain a plurality of first prediction models.
  • a Lagrange interpolation method may be used to adjust several ARIMA models. The following is a brief description by taking one adjustment parameter to adjust one ARIMA model as an example.
  • the ARIMA model corresponding to this parameter can be determined, and it is assumed that the time series of the signal-to-interference-to-noise ratio used to establish the ARIMA model is subjected to two stationary processes during the process of establishing the ARIMA model. Based on this, a periodic stationary time series can be generated according to the ARIMA model, and the stationary time series can include at least one value at a future time. Then, the signal-to-interference-noise ratio value included in the adjustment parameters is processed into the same dimension as the stationary time series.
  • the stationary time series is processed inversely corresponding to the second stationary processing to obtain a time series d(t ), d(t) includes multiple values, such as d(1), d(2)...d(n);
  • the first smooth processing is performed on the signal-to-interference-noise ratio value included in the adjustment parameters, so Both are in the same dimension.
  • the time series d(t) can be regarded as several discrete points, and the signal-to-interference-to-noise ratio value included in the adjustment parameters can be regarded as a known discrete point
  • the Lagrangian interpolation method can be used to determine an interpolation function.
  • the interpolation function is a corresponding first prediction model.
  • Step S140 when performing uplink authorization for the terminal, input the uplink time of the terminal into each first prediction model, and obtain the uplink channel quality estimated value corresponding to each codebook.
  • an uplink channel quality estimate value can be obtained. Since a first prediction model corresponds to a codebook, an uplink channel quality prediction value can be obtained. The estimates also correspond to a codebook. Based on this, since the first prediction model can estimate the channel quality value at this time according to the future time, the base station can input the future uplink time of the terminal into each first prediction model, and obtain several uplink channel quality values corresponding to each codebook. The estimated value, and these channel quality values obtained by the base station are also more accurate.
  • Step S150 Determine the modulation and coding strategy of the terminal according to each uplink channel quality estimation value, and determine one of several codebooks as a target codebook.
  • each uplink channel quality estimated value is relatively accurate, that is, the base station can obtain relatively accurate channel quality
  • the base station can determine a better modulation and coding strategy for the terminal according to these uplink channel quality estimated values and codebook.
  • step S150 may include, but is not limited to, sub-steps S151 and S152.
  • Sub-step S151 according to each uplink channel quality estimate value, determine the signal-to-interference-noise ratio value corresponding to each codebook.
  • Sub-step S152 according to the magnitude relationship of each signal-to-interference-noise ratio value, determine the modulation and coding strategy of the terminal and determine one of several codebooks as the target codebook.
  • a signal-to-interference-to-noise ratio value can be obtained by performing the inverse processing of a relatively stable processing on an uplink channel quality estimate value, and since an uplink channel quality estimate value corresponds to a codebook, the signal-to-interference and noise ratio value The noise ratio value also corresponds to the codebook. Therefore, by performing the same processing as the above-mentioned process on each uplink channel quality estimation value, several signal-to-interference-and-noise ratio values can be obtained.
  • the base station can determine a better signal-to-interference-noise ratio value according to the magnitude relationship of these signal-to-interference-noise ratio values, Then, according to the signal-to-interference-noise ratio value, a corresponding codebook is determined among several codebooks, and a modulation and coding strategy is determined.
  • Step S160 authorize the terminal according to the modulation and coding strategy and the target codebook.
  • the base station since the base station obtains relatively accurate channel quality and determines the modulation and coding strategy and the target codebook for the terminal, the base station can authorize the terminal according to the modulation and coding strategy and the target codebook, Thus, the service capacity of the system is effectively improved.
  • An embodiment of the present application further provides a communication control method, as shown in FIG. 7 , which can be used for a terminal, and the method may include but not limited to steps S210 to S260.
  • Step S210 receiving multiple periodic channel state information reference signals and multiple downlink channel measurement information sent by the base station.
  • the terminal may receive a periodic channel state information reference signal (Channel State Information Reference Signal, CSI-RS) sent by the base station within a set time length L, for establishing an ARIMA model.
  • CSI-RS Channel State Information Reference Signal
  • the terminal can also receive multiple downlink channel measurement information, such as measurement information generated by the base station measuring the Physical Downlink Shared Channel (PDSCH), which is used to adjust the established ARIMA model.
  • the set time length L may be configured according to different application scenarios.
  • the terminal may first receive multiple periodic channel state information reference signals to establish an ARIMA model, and then receive multiple downlink channel measurement information to adjust the established ARIMA model.
  • Step S220 Measure multiple periodic channel state information reference signals according to several codebooks, and establish an ARIMA model corresponding to each codebook.
  • receiving the periodic channel state information reference signal is more conducive to the accumulation of data, that is, the ARIMA model can be established in a short time, which makes the terminal use the second prediction model in the subsequent process.
  • the predicted results are more accurate.
  • the terminal can measure each periodic channel state information reference signal according to several codebooks, and then establish several ARIMA models corresponding to each codebook, where the codebook can be the antenna precoding that the terminal can support during uplink transmission. matrix.
  • the terminal can measure multiple periodic channel state information reference signals according to the N codebooks, so as to establish N ARIMA models, one of which is a codebook. This corresponds to an ARIMA model, where N is an integer greater than 1.
  • step S220 may include, but is not limited to, sub-steps S221 and S222.
  • Sub-step S221 measure each periodic channel state information reference signal according to several codebooks, and obtain a signal-to-interference-noise ratio time sequence corresponding to each codebook.
  • the terminal can use several codebooks to measure the signal, so as to obtain several SINR values corresponding to each codebook.
  • the terminal can use several codebooks to measure the signal.
  • Each of the N codebooks is used to measure a periodic channel state information reference signal, so that N signal-to-interference and noise ratio values can be obtained. Therefore, it can be understood that if several codebooks are used to measure multiple periodic channel state information reference signals, and multiple signal-to-interference-noise ratio values corresponding to the same codebook are placed in the same sequence, multiple signals can be obtained.
  • Interference-to-noise ratio time series that is, a signal-to-interference-to-noise ratio time series corresponds to a codebook.
  • Sub-step S222 based on each SINR time series, establish an ARIMA model corresponding to each SINR time series.
  • the terminal may establish a corresponding ARIMA model according to a signal-to-interference-to-noise ratio time series. It can be understood that an ARIMA model also corresponds to a codebook. Therefore, the terminal may establish several corresponding ARIMA models according to several signal-to-interference-to-noise ratio time series, and the modeling process is similar to that in the above-mentioned embodiment, and details are not repeated here.
  • Step S230 Adjust each ARIMA model according to the multiple downlink channel measurement information to obtain a second prediction model corresponding to each codebook.
  • the terminal can only input the terminal uplink time of the next cycle into the ARIMA model to obtain the corresponding downlink channel quality estimation value. Therefore, in order to enable the terminal to obtain the channel quality at any moment in the future and to improve the accuracy of the channel quality obtained by the terminal, several ARIMA models can be adjusted according to multiple downlink channel measurement information to obtain several second prediction models. It is understandable that is a second prediction model corresponding to a codebook.
  • step S230 may include, but is not limited to, sub-steps S231 and S232.
  • Step S231 Determine a plurality of adjustment parameters according to the plurality of downlink channel measurement information, and the adjustment parameters include a signal-to-interference and noise ratio value and a codebook corresponding to the signal-to-interference and noise ratio value.
  • Step S232 Adjust each ARIMA model according to the plurality of adjustment parameters to obtain each second prediction model.
  • the terminal may determine an adjustment parameter according to a downlink channel measurement information, and the adjustment parameter includes a signal-to-interference-to-noise ratio value and a codebook corresponding to the signal-to-interference-noise ratio value.
  • the corresponding ARIMA model, and the signal-to-interference-to-noise ratio value can be used to adjust the ARIMA model, and a second prediction model can be obtained after adjustment. Therefore, it can be understood that multiple adjustment parameters can be determined according to multiple downlink channel measurement information, and then multiple ARIMA models are adjusted to obtain multiple second prediction models.
  • the adjustment process is similar to the above-mentioned embodiment, and will not be repeated here.
  • Step S240 when reporting the channel state information report to the base station, input the downlink time of the terminal into each second prediction mode, and obtain the downlink channel quality estimated value corresponding to each codebook.
  • a downlink channel quality estimate value can be obtained. Since a second prediction model corresponds to a codebook, then a downlink channel quality prediction value can be obtained. The estimates also correspond to a codebook. Based on this, since the second prediction model can estimate the channel quality value at this time according to the future time, the terminal can input the future downlink time of the terminal into each second prediction model, and obtain a number of downlink channel qualities corresponding to each codebook. The estimated value, and these channel quality values obtained by the terminal are also relatively accurate.
  • Step S250 Determine the downlink channel quality indication of the terminal according to each downlink channel quality estimation value, and determine one of several codebooks as a target codebook.
  • each downlink channel quality estimate value is relatively accurate, that is, the terminal can obtain relatively accurate channel quality
  • the terminal can determine a better downlink channel quality indicator (Channel Quality Indicator) according to these downlink channel quality estimate values. Indicator, CQI) and codebook.
  • step S250 may include, but is not limited to, sub-steps S251 and S252.
  • Sub-step S251 according to each downlink channel quality estimate value, determine the signal-to-interference-noise ratio value corresponding to each codebook.
  • Sub-step S252 according to the magnitude relationship of each SINR value, determine the downlink channel quality indicator of the terminal and determine one of several codebooks as the target codebook.
  • a signal-to-interference-noise ratio value can be obtained by performing the inverse processing of a relatively stable processing on a downlink channel quality estimate value, and since a downlink channel quality estimate value corresponds to a codebook, the signal-to-interference and noise ratio value The noise ratio value also corresponds to the codebook. Therefore, each downlink channel quality estimated value is processed in the same way as the above, and then several SNR values can be obtained.
  • the terminal can determine a better SINR value according to the magnitude relationship of these SINR values, Then, according to the signal-to-interference-noise ratio value, a corresponding codebook is determined among several codebooks, and a downlink channel quality indicator is determined.
  • Step S260 reporting the downlink signal quality indication and the target codebook to the base station.
  • the terminal since the terminal obtains relatively accurate channel quality and determines the downlink channel quality indicator and the target codebook accordingly, the terminal can report the two to the base station, so that the base station can determine for the terminal based on the two The optimal modulation and coding strategy and codebook are authorized for the terminal, thus effectively improving the service capacity of the system.
  • An embodiment of the present application also provides a base station, as shown in FIG. 11 , including a processor and a memory, where the memory is used to store a computer program; the processor is used to execute the computer program and implement the embodiments of the present application when executing the computer program Any one of the provided communication control methods for a base station.
  • An embodiment of the present application also provides a terminal, as shown in FIG. 12 , including a processor and a memory, where the memory is used to store a computer program; the processor is used to execute the computer program and implement the embodiments of the present application when executing the computer program Any one of the provided communication control methods for a terminal.
  • the processor may be a central processing unit (Central Processing Unit, CPU), and the processor may also be other general-purpose processors, digital signal processors (Digital Signal Processors, DSP), application specific integrated circuits (Application Specific Integrated circuits) Circuit, ASIC), Field-Programmable Gate Array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.
  • the general-purpose processor can be a microprocessor or the processor can also be any conventional processor or the like.
  • Embodiments of the present application further provide a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and when the computer program is executed by the processor, the processor enables the processor to implement any communication control provided by the embodiments of the present application method.
  • computer-readable storage medium includes volatile and non-volatile and non-volatile storage media implemented in any method or technology for storage of information, such as computer-readable instructions, data structures, program modules or other data. Volatile, removable and non-removable media.
  • Computer-readable storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disk (DVD) or other optical disk storage, magnetic cartridges, magnetic tape, magnetic disk storage or other magnetic storage devices, Or any other medium that can be used to store the desired information and that can be accessed by a computer.
  • communication media typically embodies computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and can include any information delivery media, as is well known to those of ordinary skill in the art .
  • the computer-readable storage medium may be the internal storage unit of the base station or the terminal described in the foregoing embodiments, such as a hard disk or memory of the base station or the terminal.
  • the computer-readable storage medium can also be an external storage device of the base station or terminal, such as a plug-in hard disk equipped on the base station or terminal, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, flash memory Card (Flash Card), etc.

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Quality & Reliability (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

Embodiments of the present application provide a communication control method, a base station, a terminal, and a storage medium. The method comprises: when the base station performs uplink grant for the terminal, the base station may input an uplink time to a plurality of first prediction models to obtain a plurality of uplink channel quality estimation values, so that the base station may determine a modulation and coding scheme and a target codebook for the terminal, and perform grant for the terminal according to the modulation and coding scheme and the target codebook. The method further comprises: when the terminal reports a channel state information report to the base station, the terminal inputs a downlink time to a plurality of second prediction models to obtain a plurality of downlink channel quality estimation values, so that the terminal may determine a downlink channel quality indicator and a target codebook and report the downlink channel quality indicator and the target codebook to the base station.

Description

通信控制方法、基站、终端及存储介质Communication control method, base station, terminal and storage medium
交叉引用cross reference
本申请基于申请号为“202010699894.3”、申请日为2020年07月20日的中国专利申请提出,并要求该中国专利申请的优先权,该中国专利申请的全部内容在此以引入方式并入本申请。This application is based on the Chinese patent application with the application number "202010699894.3" and the application date is July 20, 2020, and claims the priority of the Chinese patent application. The entire content of the Chinese patent application is hereby incorporated by reference. Apply.
技术领域technical field
本申请涉及无线通讯技术领域,尤其涉及一种通信控制方法、基站、终端及存储介质。The present application relates to the field of wireless communication technologies, and in particular, to a communication control method, a base station, a terminal, and a storage medium.
背景技术Background technique
在相关技术中,基站可以根据历史信道或终端上报的信道质量信息来获取信道质量,但基站通过这两种方式获取的信道质量都为过去时刻的信道质量,因此,基站根据过去时刻的信道质量给终端提供调制与编码策略指示以及预编码矩阵指示则会存在一定的误差,从而不能有效的提升***的业务容量。In the related art, the base station can obtain the channel quality according to the historical channel or the channel quality information reported by the terminal, but the channel quality obtained by the base station in these two ways is the channel quality of the past time. Therefore, the base station can obtain the channel quality according to the channel quality of the past time If the modulation and coding strategy indication and the precoding matrix indication are provided to the terminal, there will be a certain error, so that the service capacity of the system cannot be effectively improved.
发明内容SUMMARY OF THE INVENTION
本申请实施例提供了一种通信控制方法,包括:接收由终端发送的多个周期信道探测参考信号以及多个上行信道测量信息;根据若干码本测量多个周期信道探测参考信号,建立与各码本对应的ARIMA模型;根据多个上行信道测量信息调整各ARIMA模型,得到与各码本对应的第一预测模型;在为终端进行上行授权时,将终端的上行时刻输入至各第一预测模型中,得到与各码本对应的上行信道质量预估值;根据各上行信道质量预估值确定终端的调制与编码策略以及在若干码本中确定一个作为目标码本;根据调制与编码策略以及目标码本为终端进行授权。An embodiment of the present application provides a communication control method, including: receiving multiple periodic channel sounding reference signals and multiple uplink channel measurement information sent by a terminal; measuring multiple periodic channel sounding reference signals according to several codebooks, and establishing and communicating with each ARIMA model corresponding to the codebook; adjust each ARIMA model according to multiple uplink channel measurement information, and obtain the first prediction model corresponding to each codebook; when performing uplink authorization for the terminal, input the uplink time of the terminal into each first prediction model In the model, the estimated value of the uplink channel quality corresponding to each codebook is obtained; the modulation and coding strategy of the terminal is determined according to the estimated value of each uplink channel quality, and one of several codebooks is determined as the target codebook; according to the modulation and coding strategy and the target codebook to authorize the terminal.
本申请实施例还提供了一种通信控制方法,包括:接收由基站发送的多个周期信道状态信息参考信号以及多个下行信道测量信息;根据若干码本测量多个周期信道状态信息参考信号,建立与各码本对应的ARIMA模型;根据多个下行信道测量信息调整各ARIMA模型,得到与各码本对应的第二预测模型;在向基站上报信道状态信息报告时,将终端的下行时刻输入至各第二预测模式中,得到与各码本对应的下行信道质量预估值;根据各下行信道质量预估值确定终端的下行信道质量指示以及在若干码本中确定一个作为目标码本;将下行信号质量指示以及目标码本上报给基站。An embodiment of the present application further provides a communication control method, including: receiving multiple periodic channel state information reference signals and multiple downlink channel measurement information sent by a base station; measuring multiple periodic channel state information reference signals according to several codebooks, Establish an ARIMA model corresponding to each codebook; adjust each ARIMA model according to multiple downlink channel measurement information to obtain a second prediction model corresponding to each codebook; when reporting the channel state information report to the base station, input the downlink time of the terminal In each second prediction mode, the downlink channel quality estimated value corresponding to each codebook is obtained; according to each downlink channel quality estimated value, determine the downlink channel quality indication of the terminal and determine one in several codebooks as the target codebook; The downlink signal quality indication and the target codebook are reported to the base station.
本申请实施例还提供了一种基站,包括处理器和存储器;存储器用于存储计算机程序;处理器,用于执行计算机程序并在执行计算机程序时实现上述通信控制方法。An embodiment of the present application further provides a base station, including a processor and a memory; the memory is used for storing a computer program; the processor is used for executing the computer program and implementing the above communication control method when the computer program is executed.
本申请实施例还提供了一种终端,包括处理器和存储器;存储器用于存储计算机程序;处理器,用于执行计算机程序并在执行计算机程序时实现上述通信控制方法。An embodiment of the present application further provides a terminal, including a processor and a memory; the memory is used for storing a computer program; and the processor is used for executing the computer program and implementing the above communication control method when the computer program is executed.
本申请实施例还提供了一种计算机可读存储介质,计算机可读存储介质存储有计算机程序,计算机程序被处理器执行时使处理器实现如第一方面的通信控制方法,或如第二方面的 通信控制方法。Embodiments of the present application further provide a computer-readable storage medium, where the computer-readable storage medium stores a computer program, and when the computer program is executed by the processor, the processor can implement the communication control method as in the first aspect, or as in the second aspect communication control method.
附图说明Description of drawings
图1是根据本申请各实施例提供的的一个可选的应用场景示意图;1 is a schematic diagram of an optional application scenario provided according to various embodiments of the present application;
图2是根据本申请一个实施例提供的通信控制方法的流程示意图;2 is a schematic flowchart of a communication control method provided according to an embodiment of the present application;
图3是根据本申请一个实施例提供的通信控制方法中步骤S120的流程示意图;3 is a schematic flowchart of step S120 in a communication control method provided according to an embodiment of the present application;
图4是基于ARIMA模型进行预测的一种曲线示意图;Fig. 4 is a kind of curve schematic diagram of prediction based on ARIMA model;
图5是根据本申请一个实施例提供的通信控制方法中步骤S130的流程示意图;FIG. 5 is a schematic flowchart of step S130 in the communication control method provided according to an embodiment of the present application;
图6是根据本申请一个实施例提供的通信控制方法中步骤S150的流程示意图;FIG. 6 is a schematic flowchart of step S150 in the communication control method provided according to an embodiment of the present application;
图7是根据本申请另一实施例提供的通信控制方法的流程示意图;7 is a schematic flowchart of a communication control method provided according to another embodiment of the present application;
图8是根据本申请另一实施例提供的通信控制方法中步骤S220的流程示意图;8 is a schematic flowchart of step S220 in a communication control method provided according to another embodiment of the present application;
图9是根据本申请另一实施例提供的通信控制方法中步骤S230的流程示意图;9 is a schematic flowchart of step S230 in a communication control method provided according to another embodiment of the present application;
图10是根据本申请另一实施例提供的通信控制方法中步骤S250的流程示意图;FIG. 10 is a schematic flowchart of step S250 in a communication control method provided according to another embodiment of the present application;
图11是根据本申请一个实施例提供的基站的示意框图;FIG. 11 is a schematic block diagram of a base station provided according to an embodiment of the present application;
图12是根据本申请一个实施例提供的终端的示意框图。FIG. 12 is a schematic block diagram of a terminal provided according to an embodiment of the present application.
具体实施方式detailed description
下面将结合本申请实施例中的附图,对本申请实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例是本申请一部分实施例,而不是全部的实施例。基于本申请中的实施例,本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例,都属于本申请保护的范围。The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.
附图中所示的流程图仅是示例说明,不是必须包括所有的内容和操作/步骤,也不是必须按所描述的顺序执行。例如,有的操作/步骤还可以分解、组合或部分合并,因此实际执行的顺序有可能根据实际情况改变。The flowcharts shown in the figures are for illustration only, and do not necessarily include all contents and operations/steps, nor do they have to be performed in the order described. For example, some operations/steps can also be decomposed, combined or partially combined, so the actual execution order may be changed according to the actual situation.
应当理解,在此本申请说明书中所使用的术语仅仅是出于描述特定实施例的目的而并不意在限制本申请。如在本申请说明书和所附权利要求书中所使用的那样,除非上下文清楚地指明其它情况,否则单数形式的“一”、“一个”及“该”意在包括复数形式。It should be understood that the terms used in the specification of the present application herein are for the purpose of describing particular embodiments only and are not intended to limit the present application. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural unless the context clearly dictates otherwise.
目前基站可以根据信道质量给终端提供合理的调制与编码策略指示(Modulation and Coding Scheme,MCS)以及预编码矩阵指示(Precoding Matrix Indicator,PMI),以提升无线通信***的业务容量。可以理解的是,提升业务容量的关键在于基站获取的信道质量。在相关技术中,基站可以根据历史信道或终端上报的信道质量信息来获取信道质量,但基站通过这两种方式获取的信道质量都为过去时刻的信道质量,因此,基站根据过去时刻的信道质量给终端提供调制与编码策略指示以及预编码矩阵指示则会存在一定的误差,从而不能有效的提升***的业务容量。At present, the base station can provide the terminal with a reasonable Modulation and Coding Scheme (MCS) and Precoding Matrix Indicator (PMI) according to the channel quality to improve the service capacity of the wireless communication system. It can be understood that the key to improving service capacity lies in the channel quality acquired by the base station. In the related art, the base station can obtain the channel quality according to the historical channel or the channel quality information reported by the terminal, but the channel quality obtained by the base station in these two ways is the channel quality of the past time. Therefore, the base station can obtain the channel quality according to the channel quality of the past time If the modulation and coding strategy indication and the precoding matrix indication are provided to the terminal, there will be a certain error, so that the service capacity of the system cannot be effectively improved.
本申请实施例提供了一种通信控制方法、基站、终端及存储介质,旨在获取更为精确的信道质量以提升业务容量。Embodiments of the present application provide a communication control method, a base station, a terminal, and a storage medium, which aim to obtain more accurate channel quality to improve service capacity.
本申请实施例提供的一种通信控制方法,可以应用于如图1所示的应用场景,本申请实施例提供的方法可以应用于终端10,终端10例如为移动终端,该移动终端可以是手机、平板电脑、笔记本电脑、台式电脑、个人数字助理和穿戴式设备等电子设备;另外本申请实施 例提供的方法也可以应用于基站20。需要说明的是,基站20可以连接有多个终端10,即基站20可以调度多个终端10。A communication control method provided by an embodiment of the present application can be applied to an application scenario as shown in FIG. 1 , and the method provided by an embodiment of the present application can be applied to a terminal 10. The terminal 10 is, for example, a mobile terminal, and the mobile terminal can be a mobile phone , tablet computers, notebook computers, desktop computers, personal digital assistants, wearable devices and other electronic devices; in addition, the methods provided in the embodiments of the present application can also be applied to the base station 20 . It should be noted that the base station 20 may be connected to multiple terminals 10 , that is, the base station 20 may schedule multiple terminals 10 .
本申请实施例提供的一种通信控制方法,可以用于基站,如图2所示,该方法可以包括但不限于步骤S110至S160。A communication control method provided by an embodiment of the present application can be used for a base station. As shown in FIG. 2 , the method may include but not limited to steps S110 to S160.
步骤S110,接收由终端发送的多个周期信道探测参考信号以及多个上行信道测量信息。Step S110: Receive multiple periodic channel sounding reference signals and multiple uplink channel measurement information sent by the terminal.
在一些实施方式中,上行参考信号可分为两类,一类是解调参考信号,该解调参考信号可以与物理上行共享信道(Physical Shared Channel,PUSCH)同时传输,用于数据的解调;另一类是信道探测参考信号(Sounding Reference Signal,SRS),主要用于信道质量估计,而信道探测参考信号可以分为两类,一类为周期信道探测参考信号,另一类为非周期信道探测参考信号。基于此,基站可以在一个设定的时间长度L内接收由终端发送的周期信道探测参考信号,用于建立ARIMA模型(Autoregressive Integrated Moving Average model,差分整合移动平均自回归模型)。此外,基站还可以接收多个上行信道测量信息,比如终端测量物理上行共享信道而生成的测量信息,用于调整已建立的ARIMA模型。在一些实施方式中,设定的时间长度L可以根据不同的应用场景进行配置。在一些实施方式中,基站可以先接收多个周期信道探测参考信号以建立ARIMA模型,再接收多个上行信道测量信息以调整已建立的ARIMA模型。In some embodiments, the uplink reference signal can be divided into two categories, one is a demodulation reference signal, and the demodulation reference signal can be transmitted simultaneously with a physical uplink shared channel (Physical Shared Channel, PUSCH) for data demodulation ; The other is the channel sounding reference signal (Sounding Reference Signal, SRS), which is mainly used for channel quality estimation, and the channel sounding reference signal can be divided into two categories, one is the periodic channel sounding reference signal, and the other is aperiodic. Channel sounding reference signal. Based on this, the base station can receive the periodic channel sounding reference signal sent by the terminal within a set time length L for establishing an ARIMA model (Autoregressive Integrated Moving Average model, differential integrated moving average autoregressive model). In addition, the base station may also receive multiple uplink channel measurement information, such as measurement information generated by the terminal measuring the physical uplink shared channel, for adjusting the established ARIMA model. In some embodiments, the set time length L may be configured according to different application scenarios. In some embodiments, the base station may first receive multiple periodic channel sounding reference signals to establish an ARIMA model, and then receive multiple uplink channel measurement information to adjust the established ARIMA model.
步骤S120,根据若干码本测量多个周期信道探测参考信号,建立与各码本对应的ARIMA模型。Step S120: Measure multiple periodic channel sounding reference signals according to several codebooks, and establish an ARIMA model corresponding to each codebook.
在一些实施方式中,对基站来说,接收周期信道探测参考信号更有利于数据的积累,即可以在较短的时间内建立好ARIMA模型,这使得在后续过程中基站根据第一预测模型预测得到的结果更为精确。基于此,基站可以根据若干个码本去测量各个周期信道探测参考信号,进而建立若干个与各码本对应的ARIMA模型,其中,码本可以是终端在上行传输时可以支持的天线预编码矩阵。示例性的,若终端在上行传输时可以支持的天线预编码矩阵为N个,则基站可以根据N个码本去测量多个周期信道探测参考信号,从而建立N个ARIMA模型,其中一个码本对应一个ARIMA模型,其中N为大于1的整数。In some embodiments, for the base station, receiving the periodic channel sounding reference signal is more conducive to the accumulation of data, that is, the ARIMA model can be established in a short time, which enables the base station to predict according to the first prediction model in the subsequent process. The results obtained are more precise. Based on this, the base station can measure each periodic channel sounding reference signal according to several codebooks, and then establish several ARIMA models corresponding to each codebook, where the codebook can be an antenna precoding matrix that the terminal can support during uplink transmission . Exemplarily, if the number of antenna precoding matrices that the terminal can support during uplink transmission is N, the base station can measure multiple periodic channel sounding reference signals according to the N codebooks, thereby establishing N ARIMA models, one of which is a codebook. Corresponds to an ARIMA model, where N is an integer greater than 1.
在一些实施方式中,如图3所示,步骤S120可以包括但不限于子步骤S121与S122。In some embodiments, as shown in FIG. 3 , step S120 may include, but is not limited to, sub-steps S121 and S122.
子步骤S121,根据若干码本测量各周期信道探测参考信号,得到与各码本对应的信干噪比时间序列。Sub-step S121: Measure each periodic channel sounding reference signal according to several codebooks, and obtain a signal-to-interference-noise ratio time series corresponding to each codebook.
在一些实施方式中,对于一个周期信道探测参考信号而言,基站可以用若干个码本分别去测量该信号,从而可以得到若干个与各个码本对应的信干噪比值,例如基站可以用N个码本分别去测量一个周期信道探测参考信号,从而可以得到N个信干噪比值。因此可以理解的是,用若干个码本分别去测量多个周期信道探测参考信号,并将对应同一个码本的多个信干噪比值放在同一个序列中,则可以得到多个信干噪比时间序列,即一个信干噪比时间序列对应一个码本。In some embodiments, for a periodic channel sounding reference signal, the base station can use several codebooks to measure the signal respectively, so as to obtain several signal-to-interference-noise ratio values corresponding to each codebook, for example, the base station can use N Each codebook is used to measure a periodic channel sounding reference signal, so that N SNR values can be obtained. Therefore, it can be understood that if several codebooks are used to measure multiple periodic channel sounding reference signals, and multiple SIR values corresponding to the same codebook are placed in the same sequence, multiple SIRs can be obtained. Noise ratio time series, that is, a signal-to-interference-to-noise ratio time series corresponds to a codebook.
示例性的,假设终端在上行传输时可以支持的天线预编码矩阵为三个,且基站接收到终端发送的四个周期信道探测参考信号,则基站可以根据三个码本分别去测量这四个信号,从而得到四个信干噪比时间序列,分别为与第一码本对应的第一信干噪比时间序列,比如{1_SINR1,1_SINR2,1_SINR3,1_SINR4},与第二码本对应的第二信干噪比时间序列,比如{2_SINR1,2_SINR2,2_SINR3,2_SINR4},与第三码本对应的第三信干噪比时间序列, 比如{3_SINR1,3_SINR2,3_SINR3,3_SINR4}。Exemplarily, assuming that the terminal can support three antenna precoding matrices during uplink transmission, and the base station receives four periodic channel sounding reference signals sent by the terminal, the base station can measure these four according to the three codebooks. signal to obtain four SINR time series, which are the first SINR time series corresponding to the first codebook, such as {1_SINR1, 1_SINR2, 1_SINR3, 1_SINR4}, and the first signal to interference and noise ratio time series corresponding to the second codebook. Two SINR time series, such as {2_SINR1, 2_SINR2, 2_SINR3, 2_SINR4}, and a third SINR time series corresponding to the third codebook, such as {3_SINR1, 3_SINR2, 3_SINR3, 3_SINR4}.
子步骤S122,基于各信干噪比时间序列,建立与各信干噪比时间序列对应的ARIMA模型。In sub-step S122, an ARIMA model corresponding to each SINR time series is established based on each SINR time series.
在一些实施方式中,基站可以根据一个信干噪比时间序列建立一个相对应的ARIMA模型,可以理解的是,一个ARIMA模型也与一个码本对应。因此,基站可以根据若干个信干噪比时间序列建立若干个相对应的ARIMA模型。下面以一个信干噪比时间序列建立一个ARIMA模型为例简要说明建模的过程。In some embodiments, the base station may establish a corresponding ARIMA model according to a signal-to-interference-to-noise ratio time series, and it can be understood that an ARIMA model also corresponds to a codebook. Therefore, the base station can establish several corresponding ARIMA models according to several SINR time series. The following is a brief description of the modeling process by taking a signal-to-interference-to-noise ratio time series to establish an ARIMA model as an example.
1)信干噪比时间序列的平稳处理。若要将信干噪比时间序列进行建模,则需要将该时间序列进行平稳化处理,使得信干噪比时间序列中的数据能够呈现一定的变化趋势,简单理解就是将时间序列中的数据拟合成一条曲线,而这条曲线能够在未来的一段时间仍能够呈现相同的变化趋势。在一些实施方式中,若信干噪比时间序列本身为较平稳的时间序列,则不必进行平稳处理;若信干噪比时间序列本身不为较平稳的时间序列,则需要进行平稳处理,由于路径损耗、发射功率和频率资源等可以影响基站根据码本测量周期信道探测参考信号而得到的信干噪比值,因此可以假设已知平均到每个频率资源的发射功率,则可以剥离发射功率与频率资源对信干噪比值的影响,因此可以根据路径损耗对信干噪比时间序列进行平稳处理。基于此,可以通过以下公式对信干噪比时间序列进行平稳处理:1) Stationary processing of signal-to-interference-to-noise ratio time series. To model the signal-to-interference-noise-ratio time series, the time series needs to be stabilized, so that the data in the signal-to-interference-to-noise ratio time series can show a certain trend of change. Fitted into a curve, and this curve can still show the same trend in the future. In some embodiments, if the signal-to-interference-to-noise ratio time series itself is a relatively stationary time series, it is not necessary to perform stationary processing; Path loss, transmit power and frequency resources can affect the SNR value obtained by the base station based on the codebook measurement of the periodic channel sounding reference signal. Therefore, it can be assumed that the average transmit power to each frequency resource is known, and the transmit power and the frequency resource can be separated. The influence of frequency resources on the signal-to-interference-to-noise ratio value, so the signal-to-interference-to-noise ratio time series can be processed smoothly according to the path loss. Based on this, the signal-to-interference-to-noise ratio time series can be stationary processed by the following formula:
Figure PCTCN2021106836-appb-000001
Figure PCTCN2021106836-appb-000001
其中,SINR(t)表示t时刻的信干噪比值,P SRS表示平均到每个频率资源的发射功率,C为一个常数且其大小可以根据不同的应用场景确定,d(t)表示进行一次平稳处理后的时间序列。在一些实施方式中,根据前述方式对信干噪比时间序列进行两次以内的处理,即可得到较为平稳的信干噪比时间序列。 Among them, SINR(t) represents the signal-to-interference-noise ratio value at time t, P SRS represents the average transmit power to each frequency resource, C is a constant and its size can be determined according to different application scenarios, d(t) represents a Stationed time series. In some embodiments, a relatively stable signal-to-interference-to-noise ratio time series can be obtained by processing the signal-to-interference-to-noise ratio time series within two times according to the aforementioned method.
2)模型参数的确定并建模。ARIMA模型可以记为ARIMA(p,d,q),其中p表示自回归项,q表示移动平均项,d表示时间序列成为平稳时间序列的差分次数。在一些实施方式中,可以先确定ARIMA模型的三个模型参数,再建立ARIMA模型,下面对此方式进行简要论述。2) Determination and modeling of model parameters. The ARIMA model can be written as ARIMA(p,d,q), where p represents the autoregressive term, q represents the moving average term, and d represents the number of differences that the time series becomes a stationary time series. In some embodiments, the three model parameters of the ARIMA model can be determined first, and then the ARIMA model is established, which will be briefly discussed below.
a)模型参数的确定。在一些实施方式中,参数d的大小取决于前述步骤1)中的处理次数,例如步骤1)中进行了一次处理,则d等于1。在一些实施方式中,参数p与参数q可以根据赤池信息准则(Akaike Information Criterion,AIC)与贝叶斯信息准则(Bayesian Information Criterion,BIC)进行确定。例如,一组p值与q值可以确定出一组AIC值与BIC值,则遍历多组p值与q值可以得到多组AIC值与BIC值,因此可以选择数值最小的一组AIC值与BIC值并根据这组AIC值与BIC值确定与之对应的一组p值与q值,这组p值与q值即为参数p和参数q。a) Determination of model parameters. In some embodiments, the size of the parameter d depends on the number of processing in the aforementioned step 1), for example, if one processing is performed in step 1), d is equal to 1. In some embodiments, the parameter p and the parameter q may be determined according to the Akaike Information Criterion (AIC) and the Bayesian Information Criterion (BIC). For example, a set of p values and q values can determine a set of AIC values and BIC values, then traversing multiple sets of p values and q values can obtain multiple sets of AIC values and BIC values, so you can choose the smallest set of AIC values and BIC values. The BIC value and the corresponding set of p values and q values are determined according to the set of AIC values and BIC values, and the set of p values and q values are the parameter p and the parameter q.
b)建模。ARIMA模型可以看作差分后的ARMA模型(Autoregressive moving average model,自回归滑动平均模型),ARMA模型可以记为ARMA(p,q),换言之ARIMA(p,d,q)可以看作差分后的ARMA(p,q),ARMA(p,q)可以看作如下公式:b) Modeling. The ARIMA model can be regarded as a differentiated ARMA model (Autoregressive moving average model), and the ARMA model can be recorded as ARMA(p,q), in other words, ARIMA(p,d,q) can be regarded as a differentiated ARMA model. ARMA(p,q), ARMA(p,q) can be regarded as the following formula:
Figure PCTCN2021106836-appb-000002
Figure PCTCN2021106836-appb-000002
其中,y t表示信干噪比时间序列在t时刻的值,μ为常数,ε t表示均值为0且方差为σ的白噪声序列在t时刻的值,γ i表示自相关系数,θ i表示移动平均参数,p和q为模型参数。而ARMA模型可以看作退化后的AR模型(Autoregressive model,自回归模型)或MA模型(moving average model,滑动平均模型),其中,AR模型可以记为AR(p),AR(p)可以看作 如下公式: Among them, y t represents the value of the signal-to-interference noise ratio time series at time t, μ is a constant, ε t represents the value of the white noise sequence with mean 0 and variance σ at time t, γ i represents the autocorrelation coefficient, θ i represents the moving average parameter, and p and q are model parameters. The ARMA model can be regarded as a degraded AR model (Autoregressive model, autoregressive model) or MA model (moving average model, moving average model). Among them, the AR model can be recorded as AR(p), and AR(p) can be seen as Make the following formula:
Figure PCTCN2021106836-appb-000003
Figure PCTCN2021106836-appb-000003
其中,y t表示信干噪比时间序列在t时刻的值,μ 1为常数,γ i表示自相关系数,p为模型参数;而MA模型可以记为MA(q),MA(q)可以看作如下公式: Among them, y t represents the value of the signal-to-interference-noise ratio time series at time t, μ 1 is a constant, γ i represents the autocorrelation coefficient, and p is the model parameter; and the MA model can be denoted as MA(q), and MA(q) can be Consider the following formula:
Figure PCTCN2021106836-appb-000004
Figure PCTCN2021106836-appb-000004
其中,y t表示信干噪比时间序列在t时刻的值,μ 2为常数,ε t表示均值为0且方差为σ的白噪声序列在t时刻的值,θ i表示移动平均参数,q为模型参数。 Among them, y t represents the value of the signal-to-interference noise ratio time series at time t, μ 2 is a constant, ε t represents the value of the white noise sequence with mean 0 and variance σ at time t, θ i represents the moving average parameter, q are model parameters.
在一些实施方式中,可以根据信干噪比时间序列来确定采用ARMA模型、AR模型或MA模型进行建模。例如,可以根据信干噪比时间序列的自相关函数(Autocorrelation Function,ACF)与偏自相关函数(Partial Autocorrelation Function,PACF)来确定。若信干噪比时间序列的ACF拖尾且其PACF为p阶截尾,则采用AR模型进行建模,即采用AR(p)拟合信干噪比时间序列;若信干噪比时间序列的ACF为q阶截尾且其PACF为拖尾,则采用MA模型进行建模,即采用MA(q)拟合信干噪比时间序列;若信干噪比时间序列的ACF为拖尾且PACF也为拖尾,则采用ARMA模型进行建模,即采用ARMA(p,q)拟合信干噪比时间序列。基于此,在确定根据哪一个模型进行建模的基础上,根据步骤a)中确定的p参数、q参数以及信干噪比时间序列中的若干个信干噪比值,即可建立ARIMA模型。In some embodiments, the ARMA model, the AR model or the MA model can be determined to be used for modeling according to the signal-to-interference-to-noise ratio time series. For example, it can be determined according to the autocorrelation function (Autocorrelation Function, ACF) and the partial autocorrelation function (Partial Autocorrelation Function, PACF) of the signal-to-interference-noise ratio time series. If the ACF of the SNR time series is tailed and its PACF is p-order truncation, the AR model is used for modeling, that is, AR(p) is used to fit the SNR time series; if the SNR time series is The ACF of q-order truncation and its PACF is tailing, then the MA model is used for modeling, that is, MA(q) is used to fit the SNR time series; if the ACF of the SNR time series is tailing and PACF is also tailing, so the ARMA model is used for modeling, that is, ARMA(p,q) is used to fit the signal-to-interference-noise ratio time series. Based on this, on the basis of determining which model to use for modeling, the ARIMA model can be established according to the p parameter, the q parameter determined in step a), and several SINR values in the SINR time series.
步骤S130,根据多个上行信道测量信息调整各ARIMA模型,得到与各码本对应的第一预测模型。Step S130: Adjust each ARIMA model according to the plurality of uplink channel measurement information to obtain a first prediction model corresponding to each codebook.
由于步骤S120建立的ARIMA模型都为根据周期信道探测参考信号所建立,因此基站只能将下一个周期的终端上行时刻输入至ARIMA模型中,得到相对应的上行信道质量预估值。示例性的,如图4所示,当基站使用前述已建立的ARIMA模型预测未来时刻的信道质量时,基站只能得到未来时刻t+T SRS的信道质量,而实际上当前时刻t与未来时刻t+T SRS之间的任一个时刻都可能是终端上行时刻。因此为了使基站能够获得未来任一时刻的信道质量,以提高基站获取的信道质量的精确性,可以根据多个上行信道测量信息去调整若干个ARIMA模型,得到若干个第一预测模型,可以理解的是一个第一预测模型与一个码本相对应。 Since the ARIMA models established in step S120 are all established according to the periodic channel sounding reference signal, the base station can only input the terminal uplink time of the next cycle into the ARIMA model to obtain the corresponding uplink channel quality estimation value. Exemplarily, as shown in FIG. 4 , when the base station uses the aforementioned established ARIMA model to predict the channel quality at the future time, the base station can only obtain the channel quality of the SRS at the future time t+T, but in fact the current time t and the future time Any time between t+T SRS may be the terminal uplink time. Therefore, in order to enable the base station to obtain the channel quality at any moment in the future and to improve the accuracy of the channel quality obtained by the base station, several ARIMA models can be adjusted according to multiple uplink channel measurement information, and several first prediction models can be obtained. It is understandable that is a first prediction model corresponding to a codebook.
在一些实施例中,如图5所示,步骤S130可以包括但不限于子步骤S131与S132。In some embodiments, as shown in FIG. 5 , step S130 may include, but is not limited to, sub-steps S131 and S132.
步骤S131,根据多个上行信道测量信息确定多个调整参数,调整参数包括信干噪比值和与信干噪比值对应的码本。Step S131: Determine a plurality of adjustment parameters according to the plurality of uplink channel measurement information, and the adjustment parameters include a signal-to-interference-to-noise ratio value and a codebook corresponding to the signal-to-interference and noise ratio value.
步骤S132,根据多个调整参数调整各ARIMA模型,得到各第一预测模型。Step S132: Adjust each ARIMA model according to the plurality of adjustment parameters to obtain each first prediction model.
在一些实施方式中,基站可以根据一个上行信道测量信息确定一个调整参数,该调整参数包括一个信干噪比值和与此信干噪比值对应的码本,因此可以根据该码本确定与此码本对应的ARIMA模型,而该信干噪比值可以用于调整该ARIMA模型,调整后即可得到一个第一预测模型。因此可以理解的是,可以根据多个上行信道测量信息确定多个调整参数,进而调整若干ARIMA模型,得到若干第一预测模型。In some embodiments, the base station may determine an adjustment parameter according to an uplink channel measurement information, where the adjustment parameter includes a signal-to-interference-to-noise ratio value and a codebook corresponding to the signal-to-interference-noise ratio value, so the codebook corresponding to the signal-to-interference-noise ratio value can be determined according to the codebook The corresponding ARIMA model, and the signal-to-interference-noise ratio value can be used to adjust the ARIMA model, and a first prediction model can be obtained after adjustment. Therefore, it can be understood that a plurality of adjustment parameters can be determined according to a plurality of uplink channel measurement information, and then a plurality of ARIMA models can be adjusted to obtain a plurality of first prediction models.
在一些实施方式中,根据多个调整参数,可以使用拉格朗日(Lagrange)插值方法去调整若干ARIMA模型,下面以一个调整参数调整一个ARIMA模型为例进行简要说明。In some embodiments, according to multiple adjustment parameters, a Lagrange interpolation method may be used to adjust several ARIMA models. The following is a brief description by taking one adjustment parameter to adjust one ARIMA model as an example.
根据调整参数包括的码本,可以确定此参数对应的ARIMA模型,假设在建立此ARIMA模型的过程中对用来建立的信干噪比时间序列进行了两次平稳处理。基于此,可以根据此ARIMA模型生成一个周期性的平稳时间序列,该平稳时间序列可以包括至少一个未来时刻的 值。接着将调整参数包括的信干噪比值与该平稳时间序列处理为同一个量纲,例如,一方面,对该平稳时间序列做对应第二次平稳处理的逆处理,得到一个时间序列d(t),d(t)里面包括多个值,比如d(1)、d(2)……d(n);另一方面,对调整参数包括的信干噪比值做第一次平稳处理,如此两者就都处于同一量纲。此时由于时间序列d(t)可以看作若干离散点,而调整参数包括的信干噪比值可以看作一个已知离散点,则可以使用拉格朗日插值方法确定出一个插值函数,此插值函数即为一个相对应的第一预测模型。According to the codebook included in the adjustment parameter, the ARIMA model corresponding to this parameter can be determined, and it is assumed that the time series of the signal-to-interference-to-noise ratio used to establish the ARIMA model is subjected to two stationary processes during the process of establishing the ARIMA model. Based on this, a periodic stationary time series can be generated according to the ARIMA model, and the stationary time series can include at least one value at a future time. Then, the signal-to-interference-noise ratio value included in the adjustment parameters is processed into the same dimension as the stationary time series. For example, on the one hand, the stationary time series is processed inversely corresponding to the second stationary processing to obtain a time series d(t ), d(t) includes multiple values, such as d(1), d(2)...d(n); on the other hand, the first smooth processing is performed on the signal-to-interference-noise ratio value included in the adjustment parameters, so Both are in the same dimension. At this time, since the time series d(t) can be regarded as several discrete points, and the signal-to-interference-to-noise ratio value included in the adjustment parameters can be regarded as a known discrete point, the Lagrangian interpolation method can be used to determine an interpolation function. The interpolation function is a corresponding first prediction model.
步骤S140,在为终端进行上行授权时,将终端的上行时刻输入至各第一预测模型中,得到与各码本对应的上行信道质量预估值。Step S140, when performing uplink authorization for the terminal, input the uplink time of the terminal into each first prediction model, and obtain the uplink channel quality estimated value corresponding to each codebook.
在一些实施方式中,若基站将上行时刻输入至一个第一预测模型中,则可以得到一个上行信道质量预估值,由于一个第一预测模型与一个码本相对应,则一个上行信道质量预估值也与一个码本对应。基于此,由于第一预测模型可以根据未来时刻预估该时刻的信道质量值,则基站可以将终端未来的上行时刻输入至各个第一预测模型中,得到若干与各码本对应的上行信道质量预估值,且基站得到的这些信道质量值也较为精确。In some embodiments, if the base station inputs the uplink time into a first prediction model, an uplink channel quality estimate value can be obtained. Since a first prediction model corresponds to a codebook, an uplink channel quality prediction value can be obtained. The estimates also correspond to a codebook. Based on this, since the first prediction model can estimate the channel quality value at this time according to the future time, the base station can input the future uplink time of the terminal into each first prediction model, and obtain several uplink channel quality values corresponding to each codebook. The estimated value, and these channel quality values obtained by the base station are also more accurate.
步骤S150,根据各上行信道质量预估值确定终端的调制与编码策略以及在若干码本中确定一个作为目标码本。Step S150: Determine the modulation and coding strategy of the terminal according to each uplink channel quality estimation value, and determine one of several codebooks as a target codebook.
在一些实施方式中,由于各个上行信道质量预估值都较为精确,即基站能够获得较为精确的信道质量,则基站可以根据这些上行信道质量预估值为终端确定较优的调制与编码策略以及码本。In some embodiments, since each uplink channel quality estimated value is relatively accurate, that is, the base station can obtain relatively accurate channel quality, the base station can determine a better modulation and coding strategy for the terminal according to these uplink channel quality estimated values and codebook.
在一些实施例中,如图6所示,步骤S150可以包括但不限于子步骤S151与S152。In some embodiments, as shown in FIG. 6 , step S150 may include, but is not limited to, sub-steps S151 and S152.
子步骤S151,根据各上行信道质量预估值,确定与各码本对应的信干噪比值。Sub-step S151, according to each uplink channel quality estimate value, determine the signal-to-interference-noise ratio value corresponding to each codebook.
子步骤S152,根据各信干噪比值的大小关系,确定终端的调制与编码策略以及在若干码本中确定一个作为目标码本。Sub-step S152, according to the magnitude relationship of each signal-to-interference-noise ratio value, determine the modulation and coding strategy of the terminal and determine one of several codebooks as the target codebook.
在一些实施方式中,将一个上行信道质量预估值做相对平稳处理的逆处理,即可得到一个信干噪比值,且由于一个上行信道质量预估值与一个码本对应,则该信干噪比值也与该码本对应。因此将各个上行信道质量预估值做与前述相同的处理,即可得到若干个信干噪比值。In some embodiments, a signal-to-interference-to-noise ratio value can be obtained by performing the inverse processing of a relatively stable processing on an uplink channel quality estimate value, and since an uplink channel quality estimate value corresponds to a codebook, the signal-to-interference and noise ratio value The noise ratio value also corresponds to the codebook. Therefore, by performing the same processing as the above-mentioned process on each uplink channel quality estimation value, several signal-to-interference-and-noise ratio values can be obtained.
在一些实施方式中,由于上行信道质量预估值较为精确,则对应的信干噪比值也较为精确,因此基站可以根据这些信干噪比值的大小关系确定出一个较优的信干噪比值,进而根据此信干噪比值在若干个码本中确定出一个与之相对应的码本,以及确定一个调制与编码策略。In some embodiments, since the estimated value of the uplink channel quality is relatively accurate, the corresponding signal-to-interference-noise ratio value is also relatively accurate, so the base station can determine a better signal-to-interference-noise ratio value according to the magnitude relationship of these signal-to-interference-noise ratio values, Then, according to the signal-to-interference-noise ratio value, a corresponding codebook is determined among several codebooks, and a modulation and coding strategy is determined.
步骤S160,根据调制与编码策略以及目标码本为终端进行授权。Step S160, authorize the terminal according to the modulation and coding strategy and the target codebook.
在一些实施方式中,由于基站获得了较为精确的信道质量并以此为终端确定了调制与编码策略以及目标码本,因此基站可以根据该调制与编码策略以及该目标码本为终端进行授权,从而有效的提升了***的业务容量。In some embodiments, since the base station obtains relatively accurate channel quality and determines the modulation and coding strategy and the target codebook for the terminal, the base station can authorize the terminal according to the modulation and coding strategy and the target codebook, Thus, the service capacity of the system is effectively improved.
本申请实施例还提供一种通信控制方法,如图7所示,可以用于终端,该方法可以包括但不限于步骤S210至S260。An embodiment of the present application further provides a communication control method, as shown in FIG. 7 , which can be used for a terminal, and the method may include but not limited to steps S210 to S260.
步骤S210,接收由基站发送的多个周期信道状态信息参考信号以及多个下行信道测量信息。Step S210, receiving multiple periodic channel state information reference signals and multiple downlink channel measurement information sent by the base station.
在一些实施方式中,终端可以在一个设定的时间长度L内接收由基站发送的周期信道状态信息参考信号(Channel State Information Reference Signal,CSI-RS),用于建立ARIMA模型。此外,终端还可以接收多个下行信道测量信息,比如基站测量物理下行共享信道 (Physical Downlink Shared Channel,PDSCH)而生成的测量信息,用于调整已建立的ARIMA模型。在一些实施方式中,设定的时间长度L可以根据不同的应用场景进行配置。在一些实施方式中,终端可以先接收多个周期信道状态信息参考信号以建立ARIMA模型,再接收多个下行信道测量信息以调整已建立的ARIMA模型。In some embodiments, the terminal may receive a periodic channel state information reference signal (Channel State Information Reference Signal, CSI-RS) sent by the base station within a set time length L, for establishing an ARIMA model. In addition, the terminal can also receive multiple downlink channel measurement information, such as measurement information generated by the base station measuring the Physical Downlink Shared Channel (PDSCH), which is used to adjust the established ARIMA model. In some embodiments, the set time length L may be configured according to different application scenarios. In some embodiments, the terminal may first receive multiple periodic channel state information reference signals to establish an ARIMA model, and then receive multiple downlink channel measurement information to adjust the established ARIMA model.
步骤S220,根据若干码本测量多个周期信道状态信息参考信号,建立与各码本对应的ARIMA模型。Step S220: Measure multiple periodic channel state information reference signals according to several codebooks, and establish an ARIMA model corresponding to each codebook.
在一些实施方式中,对终端来说,接收周期信道状态信息参考信号更有利于数据的积累,即可以在较短的时间内建立好ARIMA模型,这使得在后续过程中终端根据第二预测模型预测得到的结果更为精确。基于此,终端可以根据若干个码本去测量各个周期信道状态信息参考信号,进而建立若干个与各码本对应的ARIMA模型,其中,码本可以是终端在上行传输时可以支持的天线预编码矩阵。示例性的,若终端在上行传输时可以支持的天线预编码矩阵为N个,则终端可以根据N个码本去测量多个周期信道状态信息参考信号,从而建立N个ARIMA模型,其中一个码本对应一个ARIMA模型,其中N为大于1的整数。In some embodiments, for the terminal, receiving the periodic channel state information reference signal is more conducive to the accumulation of data, that is, the ARIMA model can be established in a short time, which makes the terminal use the second prediction model in the subsequent process. The predicted results are more accurate. Based on this, the terminal can measure each periodic channel state information reference signal according to several codebooks, and then establish several ARIMA models corresponding to each codebook, where the codebook can be the antenna precoding that the terminal can support during uplink transmission. matrix. Exemplarily, if the number of antenna precoding matrices that the terminal can support during uplink transmission is N, the terminal can measure multiple periodic channel state information reference signals according to the N codebooks, so as to establish N ARIMA models, one of which is a codebook. This corresponds to an ARIMA model, where N is an integer greater than 1.
在一些实施例中,如图8所示,步骤S220可以包括但不限于子步骤S221与S222。In some embodiments, as shown in FIG. 8 , step S220 may include, but is not limited to, sub-steps S221 and S222.
子步骤S221,根据若干码本测量各周期信道状态信息参考信号,得到与各码本对应的信干噪比时间序列。Sub-step S221, measure each periodic channel state information reference signal according to several codebooks, and obtain a signal-to-interference-noise ratio time sequence corresponding to each codebook.
在一些实施方式中,对于一个周期信道状态信息参考信号而言,终端可以用若干个码本分别去测量该信号,从而可以得到若干个与各个码本对应的信干噪比值,例如终端可以用N个码本分别去测量一个周期信道状态信息参考信号,从而可以得到N个信干噪比值。因此可以理解的是,用若干个码本分别去测量多个周期信道状态信息参考信号,并将对应同一个码本的多个信干噪比值放在同一个序列中,则可以得到多个信干噪比时间序列,即一个信干噪比时间序列对应一个码本。In some embodiments, for a periodic channel state information reference signal, the terminal can use several codebooks to measure the signal, so as to obtain several SINR values corresponding to each codebook. For example, the terminal can use several codebooks to measure the signal. Each of the N codebooks is used to measure a periodic channel state information reference signal, so that N signal-to-interference and noise ratio values can be obtained. Therefore, it can be understood that if several codebooks are used to measure multiple periodic channel state information reference signals, and multiple signal-to-interference-noise ratio values corresponding to the same codebook are placed in the same sequence, multiple signals can be obtained. Interference-to-noise ratio time series, that is, a signal-to-interference-to-noise ratio time series corresponds to a codebook.
子步骤S222,基于各信干噪比时间序列,建立与各信干噪比时间序列对应的ARIMA模型。Sub-step S222, based on each SINR time series, establish an ARIMA model corresponding to each SINR time series.
在一些实施方式中,终端可以根据一个信干噪比时间序列建立一个相对应的ARIMA模型,可以理解的是,一个ARIMA模型也与一个码本对应。因此,终端可以根据若干个信干噪比时间序列建立若干个相对应的ARIMA模型,建模过程与上述实施例类似,此处不再赘述。In some embodiments, the terminal may establish a corresponding ARIMA model according to a signal-to-interference-to-noise ratio time series. It can be understood that an ARIMA model also corresponds to a codebook. Therefore, the terminal may establish several corresponding ARIMA models according to several signal-to-interference-to-noise ratio time series, and the modeling process is similar to that in the above-mentioned embodiment, and details are not repeated here.
步骤S230,根据多个下行信道测量信息调整各ARIMA模型,得到与各码本对应的第二预测模型。Step S230: Adjust each ARIMA model according to the multiple downlink channel measurement information to obtain a second prediction model corresponding to each codebook.
由于步骤S220建立的ARIMA模型都为根据周期信道状态信息参考信号所建立,因此终端只能将下一个周期的终端上行时刻输入至ARIMA模型中,得到相对应的下行信道质量预估值。因此为了使终端能够获得未来任一时刻的信道质量,以提高终端获取的信道质量的精确性,可以根据多个下行信道测量信息去调整若干个ARIMA模型,得到若干个第二预测模型,可以理解的是一个第二预测模型与一个码本相对应。Since the ARIMA models established in step S220 are all established according to the periodic channel state information reference signal, the terminal can only input the terminal uplink time of the next cycle into the ARIMA model to obtain the corresponding downlink channel quality estimation value. Therefore, in order to enable the terminal to obtain the channel quality at any moment in the future and to improve the accuracy of the channel quality obtained by the terminal, several ARIMA models can be adjusted according to multiple downlink channel measurement information to obtain several second prediction models. It is understandable that is a second prediction model corresponding to a codebook.
在一些实施例中,如图9所示,步骤S230可以包括但不限于子步骤S231与S232。In some embodiments, as shown in FIG. 9 , step S230 may include, but is not limited to, sub-steps S231 and S232.
步骤S231,根据多个下行信道测量信息确定多个调整参数,调整参数包括信干噪比值和与信干噪比值对应的码本。Step S231: Determine a plurality of adjustment parameters according to the plurality of downlink channel measurement information, and the adjustment parameters include a signal-to-interference and noise ratio value and a codebook corresponding to the signal-to-interference and noise ratio value.
步骤S232,根据多个调整参数调整各ARIMA模型,得到各第二预测模型。Step S232: Adjust each ARIMA model according to the plurality of adjustment parameters to obtain each second prediction model.
在一些实施方式中,终端可以根据一个下行信道测量信息确定一个调整参数,该调整参数包括一个信干噪比值和与此信干噪比值对应的码本,因此可以根据该码本确定与此码本对应的ARIMA模型,而该信干噪比值可以用于调整该ARIMA模型,调整后即可得到一个第二预测模型。因此可以理解的是,可以根据多个下行信道测量信息确定多个调整参数,进而调整若干ARIMA模型,得到若干第二预测模型,调整的过程与上述实施例类似,此处不再赘述。In some implementation manners, the terminal may determine an adjustment parameter according to a downlink channel measurement information, and the adjustment parameter includes a signal-to-interference-to-noise ratio value and a codebook corresponding to the signal-to-interference-noise ratio value. The corresponding ARIMA model, and the signal-to-interference-to-noise ratio value can be used to adjust the ARIMA model, and a second prediction model can be obtained after adjustment. Therefore, it can be understood that multiple adjustment parameters can be determined according to multiple downlink channel measurement information, and then multiple ARIMA models are adjusted to obtain multiple second prediction models. The adjustment process is similar to the above-mentioned embodiment, and will not be repeated here.
步骤S240,在向基站上报信道状态信息报告时,将终端的下行时刻输入至各第二预测模式中,得到与各码本对应的下行信道质量预估值。Step S240, when reporting the channel state information report to the base station, input the downlink time of the terminal into each second prediction mode, and obtain the downlink channel quality estimated value corresponding to each codebook.
在一些实施方式中,若终端将下行时刻输入至一个第二预测模型中,则可以得到一个下行信道质量预估值,由于一个第二预测模型与一个码本相对应,则一个下行信道质量预估值也与一个码本对应。基于此,由于第二预测模型可以根据未来时刻预估该时刻的信道质量值,则终端可以将终端未来的下行时刻输入至各个第二预测模型中,得到若干与各码本对应的下行信道质量预估值,且终端得到的这些信道质量值也较为精确。In some embodiments, if the terminal inputs the downlink time into a second prediction model, a downlink channel quality estimate value can be obtained. Since a second prediction model corresponds to a codebook, then a downlink channel quality prediction value can be obtained. The estimates also correspond to a codebook. Based on this, since the second prediction model can estimate the channel quality value at this time according to the future time, the terminal can input the future downlink time of the terminal into each second prediction model, and obtain a number of downlink channel qualities corresponding to each codebook. The estimated value, and these channel quality values obtained by the terminal are also relatively accurate.
步骤S250,根据各下行信道质量预估值确定终端的下行信道质量指示以及在若干码本中确定一个作为目标码本。Step S250: Determine the downlink channel quality indication of the terminal according to each downlink channel quality estimation value, and determine one of several codebooks as a target codebook.
在一些实施方式中,由于各个下行信道质量预估值都较为精确,即终端能够获得较为精确的信道质量,则终端可以根据这些下行信道质量预估值确定较优的下行信道质量指示(Channel Quality Indicator,CQI)以及码本。In some embodiments, since each downlink channel quality estimate value is relatively accurate, that is, the terminal can obtain relatively accurate channel quality, the terminal can determine a better downlink channel quality indicator (Channel Quality Indicator) according to these downlink channel quality estimate values. Indicator, CQI) and codebook.
在一些实施例中,如图10所示,步骤S250可以包括但不限于子步骤S251与S252。In some embodiments, as shown in FIG. 10 , step S250 may include, but is not limited to, sub-steps S251 and S252.
子步骤S251,根据各下行信道质量预估值,确定与各码本对应的信干噪比值。Sub-step S251, according to each downlink channel quality estimate value, determine the signal-to-interference-noise ratio value corresponding to each codebook.
子步骤S252,根据各信干噪比值的大小关系,确定终端的下行信道质量指示以及在若干码本中确定一个作为目标码本。Sub-step S252, according to the magnitude relationship of each SINR value, determine the downlink channel quality indicator of the terminal and determine one of several codebooks as the target codebook.
在一些实施方式中,将一个下行信道质量预估值做相对平稳处理的逆处理,即可得到一个信干噪比值,且由于一个下行信道质量预估值与一个码本对应,则该信干噪比值也与该码本对应。因此将各个下行信道质量预估值做与前述相同的处理,即可得到若干个信干噪比值。In some embodiments, a signal-to-interference-noise ratio value can be obtained by performing the inverse processing of a relatively stable processing on a downlink channel quality estimate value, and since a downlink channel quality estimate value corresponds to a codebook, the signal-to-interference and noise ratio value The noise ratio value also corresponds to the codebook. Therefore, each downlink channel quality estimated value is processed in the same way as the above, and then several SNR values can be obtained.
在一些实施方式中,由于下行信道质量预估值较为精确,则对应的信干噪比值也较为精确,因此终端可以根据这些信干噪比值的大小关系确定出一个较优的信干噪比值,进而根据此信干噪比值在若干个码本中确定出一个与之相对应的码本,以及确定一个下行信道质量指示。In some embodiments, since the estimated value of the downlink channel quality is relatively accurate, the corresponding SINR value is also relatively accurate, so the terminal can determine a better SINR value according to the magnitude relationship of these SINR values, Then, according to the signal-to-interference-noise ratio value, a corresponding codebook is determined among several codebooks, and a downlink channel quality indicator is determined.
步骤S260,将下行信号质量指示以及目标码本上报给基站。Step S260, reporting the downlink signal quality indication and the target codebook to the base station.
在一些实施方式中,由于终端获得了较为精确的信道质量并以此确定了下行信道质量指示以及目标码本,因此终端可以将这两者上报给基站,使得基站可以根据这两者为终端确定较优的调制与编码策略以及码本并为终端进行授权,从而有效的提升了***的业务容量。In some embodiments, since the terminal obtains relatively accurate channel quality and determines the downlink channel quality indicator and the target codebook accordingly, the terminal can report the two to the base station, so that the base station can determine for the terminal based on the two The optimal modulation and coding strategy and codebook are authorized for the terminal, thus effectively improving the service capacity of the system.
本申请的实施例还提供了一种基站,如图11所示,包括处理器与存储器,该存储器用于存储计算机程序;该处理器用于执行计算机程序并在执行计算机程序时实现本申请实施例提供的任一项用于基站的通信控制方法。An embodiment of the present application also provides a base station, as shown in FIG. 11 , including a processor and a memory, where the memory is used to store a computer program; the processor is used to execute the computer program and implement the embodiments of the present application when executing the computer program Any one of the provided communication control methods for a base station.
本申请的实施例还提供了一种终端,如图12所示,包括处理器与存储器,该存储器用于存储计算机程序;该处理器用于执行计算机程序并在执行计算机程序时实现本申请实施例提供的任一项用于终端的通信控制方法。An embodiment of the present application also provides a terminal, as shown in FIG. 12 , including a processor and a memory, where the memory is used to store a computer program; the processor is used to execute the computer program and implement the embodiments of the present application when executing the computer program Any one of the provided communication control methods for a terminal.
应当理解的是,处理器可以是中央处理单元(Central Processing Unit,CPU),该处理器还可以是其他通用处理器、数字信号处理器(Digital Signal Processor,DSP)、专用集成电路(Application Specific Integrated Circuit,ASIC)、现场可编程门阵列(Field-Programmable Gate Array,FPGA)或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件等。其中,通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等。It should be understood that the processor may be a central processing unit (Central Processing Unit, CPU), and the processor may also be other general-purpose processors, digital signal processors (Digital Signal Processors, DSP), application specific integrated circuits (Application Specific Integrated circuits) Circuit, ASIC), Field-Programmable Gate Array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Wherein, the general-purpose processor can be a microprocessor or the processor can also be any conventional processor or the like.
本申请的实施例还提供一种计算机可读存储介质,该计算机可读存储介质存储有计算机程序,该计算机程序被处理器执行时,使处理器实现本申请实施例提供的任一项通信控制方法。Embodiments of the present application further provide a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and when the computer program is executed by the processor, the processor enables the processor to implement any communication control provided by the embodiments of the present application method.
本领域普通技术人员可以理解,上文中所公开方法中的全部或某些步骤、***、装置中的功能模块/单元可以被实施为软件、固件、硬件及其适当的组合。在硬件实施方式中,在以上描述中提及的功能模块/单元之间的划分不一定对应于物理组件的划分;例如,一个物理组件可以具有多个功能,或者一个功能或步骤可以由若干物理组件合作执行。某些物理组件或所有物理组件可以被实施为由处理器,如中央处理器、数字信号处理器或微处理器执行的软件,或者被实施为硬件,或者被实施为集成电路,如专用集成电路。这样的软件可以分布在计算机可读存储介质上,计算机可读存储介质可以包括计算机可读存储介质(或非暂时性介质)和通信介质(或暂时性介质)。Those of ordinary skill in the art can understand that all or some of the steps in the methods disclosed above, functional modules/units in the system, and the apparatus can be implemented as software, firmware, hardware, and appropriate combinations thereof. In a hardware implementation, the division between functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be composed of several physical components Components execute cooperatively. Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit . Such software may be distributed on computer-readable storage media, which may include computer-readable storage media (or non-transitory media) and communication media (or transitory media).
如本领域普通技术人员公知的,术语计算机可读存储介质包括在用于存储信息(诸如计算机可读指令、数据结构、程序模块或其他数据)的任何方法或技术中实施的易失性和非易失性、可移除和不可移除介质。计算机可读存储介质包括但不限于RAM、ROM、EEPROM、闪存或其他存储器技术、CD-ROM、数字多功能盘(DVD)或其他光盘存储、磁盒、磁带、磁盘存储或其他磁存储装置、或者可以用于存储期望的信息并且可以被计算机访问的任何其他的介质。此外,本领域普通技术人员公知的是,通信介质通常包含计算机可读指令、数据结构、程序模块或者诸如载波或其他传输机制之类的调制数据信号中的其他数据,并且可包括任何信息递送介质。As is known to those of ordinary skill in the art, the term computer-readable storage medium includes volatile and non-volatile and non-volatile storage media implemented in any method or technology for storage of information, such as computer-readable instructions, data structures, program modules or other data. Volatile, removable and non-removable media. Computer-readable storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disk (DVD) or other optical disk storage, magnetic cartridges, magnetic tape, magnetic disk storage or other magnetic storage devices, Or any other medium that can be used to store the desired information and that can be accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and can include any information delivery media, as is well known to those of ordinary skill in the art .
示例性的,计算机可读存储介质可以是前述实施例所述的基站或终端的内部存储单元,例如基站或终端的硬盘或内存。计算机可读存储介质也可以是基站或终端的外部存储设备,例如基站或终端上配备的插接式硬盘,智能存储卡(Smart Media Card,SMC),安全数字(Secure Digital,SD)卡,闪存卡(Flash Card)等。Exemplarily, the computer-readable storage medium may be the internal storage unit of the base station or the terminal described in the foregoing embodiments, such as a hard disk or memory of the base station or the terminal. The computer-readable storage medium can also be an external storage device of the base station or terminal, such as a plug-in hard disk equipped on the base station or terminal, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, flash memory Card (Flash Card), etc.
以上所述,仅为本申请的具体实施方式,但本申请的保护范围并不局限于此,任何熟悉本技术领域的技术人员在本申请揭露的技术范围内,可轻易想到各种等效的修改或替换,这些修改或替换都应涵盖在本申请的保护范围之内。因此,本申请的保护范围应以权利要求的保护范围为准。The above are only specific embodiments of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of various equivalents within the technical scope disclosed in the present application. Modifications or substitutions shall be covered by the protection scope of this application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (11)

  1. 一种通信控制方法,包括:A communication control method, comprising:
    接收由终端发送的多个周期信道探测参考信号以及多个上行信道测量信息;receiving multiple periodic channel sounding reference signals and multiple uplink channel measurement information sent by the terminal;
    根据若干码本测量所述多个周期信道探测参考信号,建立与各所述码本对应的ARIMA模型;Measure the multiple periodic channel sounding reference signals according to several codebooks, and establish an ARIMA model corresponding to each of the codebooks;
    根据所述多个上行信道测量信息调整各所述ARIMA模型,得到与各所述码本对应的第一预测模型;Adjust each of the ARIMA models according to the plurality of uplink channel measurement information to obtain a first prediction model corresponding to each of the codebooks;
    在为所述终端进行上行授权时,将所述终端的上行时刻输入至各所述第一预测模型中,得到与各所述码本对应的上行信道质量预估值;When performing uplink authorization for the terminal, input the uplink time of the terminal into each of the first prediction models, and obtain an uplink channel quality estimated value corresponding to each of the codebooks;
    根据各所述上行信道质量预估值确定所述终端的调制与编码策略以及在所述若干码本中确定一个作为目标码本;Determine the modulation and coding strategy of the terminal according to each of the uplink channel quality estimates, and determine one of the several codebooks as a target codebook;
    根据所述调制与编码策略以及所述目标码本为所述终端进行授权。The terminal is authorized according to the modulation and coding strategy and the target codebook.
  2. 根据权利要求1所述的方法,其中,所述根据若干码本测量所述多个周期信道探测参考信号,建立与各所述码本对应的ARIMA模型,包括:The method according to claim 1, wherein the establishing an ARIMA model corresponding to each of the codebooks by measuring the plurality of periodic channel sounding reference signals according to several codebooks comprises:
    根据所述若干码本测量各所述周期信道探测参考信号,得到与各所述码本对应的信干噪比时间序列;Measure each of the periodic channel sounding reference signals according to the several codebooks, and obtain a signal-to-interference-noise ratio time series corresponding to each of the codebooks;
    基于各所述信干噪比时间序列,建立与各所述信干噪比时间序列对应的ARIMA模型。Based on each of the SINR time series, an ARIMA model corresponding to each of the SINR time series is established.
  3. 根据权利要求1至2中任一项所述的方法,其中,所述根据所述多个上行信道测量信息调整各所述ARIMA模型,得到与各所述码本对应的第一预测模型,包括:The method according to any one of claims 1 to 2, wherein the adjusting each of the ARIMA models according to the plurality of uplink channel measurement information to obtain a first prediction model corresponding to each of the codebooks, comprising: :
    根据所述多个上行信道测量信息确定多个调整参数,所述调整参数包括信干噪比值和与所述信干噪比值对应的码本;Determine a plurality of adjustment parameters according to the plurality of uplink channel measurement information, where the adjustment parameters include a signal-to-interference and noise ratio value and a codebook corresponding to the signal-to-interference and noise ratio value;
    根据所述多个调整参数调整各所述ARIMA模型,得到各所述第一预测模型。Each of the ARIMA models is adjusted according to the plurality of adjustment parameters to obtain each of the first prediction models.
  4. 根据权利要求1至3中任一项所述的方法,其中,所述根据各所述上行信道质量预估值确定所述终端的调制与编码策略以及在所述若干码本中确定一个作为目标码本,包括:The method according to any one of claims 1 to 3, wherein the determining a modulation and coding strategy of the terminal according to each of the uplink channel quality estimates and determining one of the several codebooks as a target Codebook, including:
    根据各所述上行信道质量预估值,确定与各所述码本对应的信干噪比值;determining the signal-to-interference-and-noise ratio value corresponding to each of the codebooks according to each of the estimated values of the uplink channel quality;
    根据各所述信干噪比值的大小关系,确定所述终端的调制与编码策略以及在所述若干码本中确定一个作为目标码本。According to the magnitude relationship of each of the signal-to-interference-noise ratio values, the modulation and coding strategy of the terminal is determined, and one of the several codebooks is determined as a target codebook.
  5. 一种通信控制方法,包括:A communication control method, comprising:
    接收由基站发送的多个周期信道状态信息参考信号以及多个下行信道测量信息;receiving multiple periodic channel state information reference signals and multiple downlink channel measurement information sent by the base station;
    根据若干码本测量所述多个周期信道状态信息参考信号,建立与各所述码本对应的ARIMA模型;Measure the plurality of periodic channel state information reference signals according to several codebooks, and establish an ARIMA model corresponding to each of the codebooks;
    根据所述多个下行信道测量信息调整各所述ARIMA模型,得到与各所述码本对应的第二预测模型;Adjust each of the ARIMA models according to the plurality of downlink channel measurement information to obtain a second prediction model corresponding to each of the codebooks;
    在向所述基站上报信道状态信息报告时,将终端的下行时刻输入至各所述第二预测模式中,得到与各所述码本对应的下行信道质量预估值;When reporting the channel state information report to the base station, input the downlink time of the terminal into each of the second prediction modes, and obtain a downlink channel quality estimated value corresponding to each of the codebooks;
    根据各所述下行信道质量预估值确定所述终端的下行信道质量指示以及在所述若干码本中确定一个作为目标码本;determining a downlink channel quality indicator of the terminal according to each of the downlink channel quality estimates, and determining one of the several codebooks as a target codebook;
    将所述下行信号质量指示以及所述目标码本上报给所述基站。reporting the downlink signal quality indication and the target codebook to the base station.
  6. 根据权利要求5所述的方法,其中,所述根据若干码本测量所述多个周期信道状态信息参考信号,建立与各所述码本对应的ARIMA模型,包括:The method according to claim 5, wherein measuring the plurality of periodic channel state information reference signals according to several codebooks, and establishing an ARIMA model corresponding to each of the codebooks, comprises:
    根据所述若干码本测量各所述周期信道状态信息参考信号,得到与各所述码本对应的信干噪比时间序列;Measure each of the periodic channel state information reference signals according to the several codebooks, and obtain a signal-to-interference-noise ratio time series corresponding to each of the codebooks;
    基于各所述信干噪比时间序列,建立与各所述信干噪比时间序列对应的ARIMA模型。Based on each of the SINR time series, an ARIMA model corresponding to each of the SINR time series is established.
  7. 根据权利要求5至6中任一项所述的方法,其中,所述根据所述多个下行信道测量信息调整各所述ARIMA模型,得到与各所述码本对应的第二预测模型,包括:The method according to any one of claims 5 to 6, wherein the adjusting each of the ARIMA models according to the plurality of downlink channel measurement information to obtain a second prediction model corresponding to each of the codebooks, comprising: :
    根据所述多个下行信道测量信息确定多个调整参数,所述调整参数包括信干噪比值和与所述信干噪比值对应的码本;Determine a plurality of adjustment parameters according to the plurality of downlink channel measurement information, where the adjustment parameters include a signal-to-interference and noise ratio value and a codebook corresponding to the signal-to-interference and noise ratio value;
    根据所述多个调整参数调整各所述ARIMA模型,得到各所述第二预测模型。Each of the ARIMA models is adjusted according to the plurality of adjustment parameters to obtain each of the second prediction models.
  8. 根据权利要求5至7中任一项所述的方法,其中,所述根据各所述下行信道质量预估值确定所述终端的下行信道质量指示以及在所述若干码本中确定一个作为目标码本,包括:The method according to any one of claims 5 to 7, wherein the determining the downlink channel quality indicator of the terminal according to each of the downlink channel quality estimates and determining one of the several codebooks as a target Codebook, including:
    根据各所述下行信道质量预估值,确定与各所述码本对应的信干噪比值;determining a signal-to-interference-and-noise ratio value corresponding to each of the codebooks according to each of the downlink channel quality estimates;
    根据各所述信干噪比值的大小关系,确定所述终端的下行信道质量指示以及在所述若干码本中确定一个作为目标码本。According to the magnitude relationship of each of the signal-to-interference and noise ratio values, the downlink channel quality indicator of the terminal is determined, and one of the several codebooks is determined as a target codebook.
  9. 一种基站,包括处理器和存储器;A base station including a processor and a memory;
    所述存储器用于存储计算机程序;the memory is used to store computer programs;
    所述处理器,用于执行所述计算机程序并在执行所述计算机程序时实现如权利要求1至4中任一项所述的通信控制方法。The processor is configured to execute the computer program and implement the communication control method according to any one of claims 1 to 4 when the computer program is executed.
  10. 一种终端,包括处理器和存储器;A terminal including a processor and memory;
    所述存储器用于存储计算机程序;the memory is used to store computer programs;
    所述处理器,用于执行所述计算机程序并在执行所述计算机程序时实现如权利要求5至8中任一项所述的通信控制方法。The processor is configured to execute the computer program and implement the communication control method according to any one of claims 5 to 8 when the computer program is executed.
  11. 一种计算机可读存储介质,所述计算机可读存储介质存储有计算机程序,所述计算机程序被处理器执行时使所述处理器实现如权利要求1至4中任一项所述的通信控制方法,或如权利要求5至8中任一项所述的通信控制方法。A computer-readable storage medium storing a computer program that, when executed by a processor, causes the processor to implement the communication control according to any one of claims 1 to 4 method, or a communication control method as claimed in any one of claims 5 to 8.
PCT/CN2021/106836 2020-07-20 2021-07-16 Communication control method, base station, terminal, and storage medium WO2022017289A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202010699894.3A CN113965291B (en) 2020-07-20 2020-07-20 Communication control method, base station, terminal and storage medium
CN202010699894.3 2020-07-20

Publications (1)

Publication Number Publication Date
WO2022017289A1 true WO2022017289A1 (en) 2022-01-27

Family

ID=79459601

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2021/106836 WO2022017289A1 (en) 2020-07-20 2021-07-16 Communication control method, base station, terminal, and storage medium

Country Status (2)

Country Link
CN (1) CN113965291B (en)
WO (1) WO2022017289A1 (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114422007B (en) * 2022-03-24 2022-07-01 新华三技术有限公司 Uplink data modulation method and device
WO2023205928A1 (en) * 2022-04-24 2023-11-02 Qualcomm Incorporated Predictive beam management mode switching
CN114866189B (en) * 2022-05-06 2023-12-19 北京佰才邦技术股份有限公司 Modulation and coding strategy MCS determination method and device

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101686214A (en) * 2008-09-26 2010-03-31 大唐移动通信设备有限公司 Method and device for performing channel quality indicator estimation
CN102204141A (en) * 2008-10-24 2011-09-28 高通股份有限公司 Method and apparatus for separable channel state feedback in a wireless communication system
CN102246428A (en) * 2008-12-15 2011-11-16 华为技术有限公司 Method for employing six-bit rank 1 and 2 codebooks for four transmit antennas
CN104303477A (en) * 2012-05-10 2015-01-21 三星电子株式会社 Communication method and apparatus using analog and digital hybrid beamforming
CN105164932A (en) * 2013-04-29 2015-12-16 三星电子株式会社 Method and apparatus for performing communication in multi-stage beam forming system
WO2016120731A1 (en) * 2015-01-28 2016-08-04 Alcatel Lucent System and method for controlling an operation of an application by forecasting a smoothed transport block size
CN105846885A (en) * 2016-03-21 2016-08-10 南京邮电大学 GEO satellite channel distribution strategy based on flow prediction

Family Cites Families (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007145556A1 (en) * 2006-06-16 2007-12-21 Telefonaktiebolaget Lm Ericsson (Publ) Method for channel quality measures in a multiple antenna system.
CN101958765A (en) * 2010-09-27 2011-01-26 北京大学 Channel quality indication predicting and compensating method and system
CN103369582B (en) * 2012-04-06 2016-08-03 中兴通讯股份有限公司 The Physical Downlink Control Channel qualitative forecasting method of long evolving system and device
CN103338468A (en) * 2012-12-27 2013-10-02 上海华为技术有限公司 Method and device for enhancing mobility performance
CN104753636B (en) * 2013-12-31 2018-03-23 展讯通信(上海)有限公司 The feedback method that channel quality indicates in communication system and device, communication terminal
CN104811229B (en) * 2014-01-24 2020-09-08 中兴通讯股份有限公司 Channel state information processing method and device, terminal and base station
US10128927B2 (en) * 2014-05-19 2018-11-13 Panasonic Intellectual Property Corporation Of America Channel state information reporting enhancement for network assisted interference cancellation and suppression
CN105979599B (en) * 2016-05-09 2019-03-22 重庆邮电大学 A kind of adaptive hop channel method of wireless sensor network based on channel quality prediction
CN107395256B (en) * 2016-05-12 2021-02-09 华为技术有限公司 Channel state information feedback method, device and system
CN109121218A (en) * 2017-06-22 2019-01-01 深圳市金立通信设备有限公司 A kind of data transmission method, device, base station and user equipment
CA3072140A1 (en) * 2017-08-18 2019-02-21 Guangdong Oppo Mobile Telecommunications Corp., Ltd. Channel state information reporting method and related equipment
CN109525299B (en) * 2018-10-24 2020-08-04 清华大学 Satellite communication system and communication method for adaptive coding modulation optimization
CN110266412B (en) * 2019-07-01 2021-06-18 中国电信股份有限公司 Method and device for predicting SINR of subway communication network

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101686214A (en) * 2008-09-26 2010-03-31 大唐移动通信设备有限公司 Method and device for performing channel quality indicator estimation
CN102204141A (en) * 2008-10-24 2011-09-28 高通股份有限公司 Method and apparatus for separable channel state feedback in a wireless communication system
CN102246428A (en) * 2008-12-15 2011-11-16 华为技术有限公司 Method for employing six-bit rank 1 and 2 codebooks for four transmit antennas
CN104303477A (en) * 2012-05-10 2015-01-21 三星电子株式会社 Communication method and apparatus using analog and digital hybrid beamforming
CN105164932A (en) * 2013-04-29 2015-12-16 三星电子株式会社 Method and apparatus for performing communication in multi-stage beam forming system
WO2016120731A1 (en) * 2015-01-28 2016-08-04 Alcatel Lucent System and method for controlling an operation of an application by forecasting a smoothed transport block size
CN105846885A (en) * 2016-03-21 2016-08-10 南京邮电大学 GEO satellite channel distribution strategy based on flow prediction

Also Published As

Publication number Publication date
CN113965291A (en) 2022-01-21
CN113965291B (en) 2024-05-17

Similar Documents

Publication Publication Date Title
WO2022017289A1 (en) Communication control method, base station, terminal, and storage medium
JP6030754B2 (en) Outer loop link adaptation for device restart
JP5897771B2 (en) Adaptive channel state feedback in intermittent reception scenarios based on connection characteristics
US9295063B2 (en) Adaptive generation of channel state feedback (CSF) based on base station CSF scheduling
US10447455B2 (en) Enabling higher-order modulation in a cellular network
CN109196790B (en) Method, apparatus and storage medium for determining channel state information in wireless network
JP2014512770A (en) Channel quality indicator reporting method, apparatus and system
CN106888062B (en) CQI estimation and SINR determination method and related equipment
EP2509249A1 (en) Method and device for frequency selective scheduling using the channel symmetry
CN107710639A (en) Information feedback, user's pairing, data transmission method, device and system
US20190379468A1 (en) Techniques for channel state determination
KR20120012618A (en) Scheduling method and apparatus for control average transfer rate in multiple antenna system
WO2017152876A1 (en) Apparatus and method for wireless communications, and parameter optimization apparatus and method
CN110166091B (en) Multi-user pairing method, device and base station
WO2019109971A1 (en) Method and device for adjusting data transmission mode
CN114745079B (en) Adaptive modulation coding method, access network equipment and storage medium
US9548848B1 (en) Method and apparatus for reduced complexity CQI feedback in wireless communication systems
WO2022184009A1 (en) Quantization method and apparatus, and device and readable storage medium
Chen et al. Caching in narrow-band burst-error channels via meta self-supervision learning
US10419156B2 (en) Serving network node and method for determining a transmission parameter to be used for a transmission to a wireless device
WO2023207412A1 (en) Beam management method, user device, base station, storage medium, and program product
US11201643B1 (en) Method, apparatus and system for transmission of data in a power domain non-orthogonal multiple access system
CN115102593B (en) Method and device for selecting rank indication, baseband chip and terminal equipment
CN114866189B (en) Modulation and coding strategy MCS determination method and device
WO2024032429A1 (en) Beam measurement method, user apparatus, base station, storage medium and program product

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 21846855

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

32PN Ep: public notification in the ep bulletin as address of the adressee cannot be established

Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205A DATED 07/06/2023)

122 Ep: pct application non-entry in european phase

Ref document number: 21846855

Country of ref document: EP

Kind code of ref document: A1