CN116743214A - Method and device for selecting forming channel and storage medium - Google Patents

Abstract

The embodiment of the application provides a shaping channel selection method, a device and a storage medium, wherein the method comprises the following steps: determining a weighted RSRP corresponding to the target user equipment based on a first weight coefficient corresponding to the target user equipment and a first RSRP corresponding to the target user equipment in the target forming channel; the fluctuation of the weighted RSRP corresponding to all user equipment in the target forming channel is smaller than a preset threshold; determining uplink weighted signal power corresponding to a target forming channel based on the sum of weighted RSRP corresponding to all user equipment in the target forming channel; and performing descending order sorting processing on all the shaping channels based on the uplink weighted signal power corresponding to each shaping channel before channel selection, and determining a preset number of shaping channels. The application reduces the influence of power unbalance among users on the selection of the shaping channel and improves the possibility that the shaping channel where the low-power user is located is selected.

Description

Method and device for selecting forming channel and storage medium

Technical Field

The present application relates to the field of communications technologies, and in particular, to a method and apparatus for selecting a shaping channel, and a storage medium.

Background

To improve the uplink user detection probability of a New Radio (NR) system of a Massive multiple-input multiple-output (Massive Multiple Input Multiple Output, massive MIMO), a receiving shaping process may be performed on a physical uplink control channel (Physical Uplink Control Channel, PUCCH).

After receiving the shaping, the signal energy contained in the different shaping channels is not uniform, so in the traditional scheme, the shaping channels are selected and removed by comparing the reference signal received power (Reference Signal Receiving Power, RSRP)/received signal strength indicator (Received Signal Strength Indication, RSSI) of the total users in the different shaping channels with a preset threshold, so as to improve the detection probability of the uplink user.

However, for PUCCH channels, especially Format 1 configuration, multi-user multiplexing is supported, and there is a case of mutual interference between users. When the number of multiplexing users is large and the power among the users is unbalanced, the traditional channel selection method can bring great performance loss to some users, especially low-power users.

Disclosure of Invention

Aiming at the problems existing in the prior art, the embodiment of the application provides a shaping channel selection method, a shaping channel selection device and a storage medium.

In a first aspect, an embodiment of the present application provides a method for selecting a shaping channel, including:

determining a weighted RSRP corresponding to target user equipment based on a first weight coefficient corresponding to the target user equipment in a target shaping channel and a first Reference Signal Received Power (RSRP) corresponding to the target user equipment; the fluctuation of the weighted RSRP corresponding to all user equipment in the target forming channel is smaller than a preset threshold;

Determining uplink weighted signal power corresponding to the target forming channel based on the sum of weighted RSRP corresponding to all user equipment in the target forming channel;

and performing descending order sorting processing on all the shaping channels based on the uplink weighted signal power corresponding to each shaping channel before channel selection, and determining a preset number of shaping channels.

Optionally, the method further comprises:

determining a second weight coefficient corresponding to the target user equipment based on a second RSRP and the first RSRP corresponding to the target user equipment; the second RSRP is determined based on the RSRP corresponding to the user equipment in the target forming channel;

and correcting the second weight coefficient and determining the first weight coefficient.

Optionally, the second RSRP is the minimum value of RSRP corresponding to all user equipments in the target shaping channel, and the determining the second weight coefficient corresponding to the target user equipment includes:

and determining a second weight coefficient corresponding to the target user equipment based on the ratio of the second RSRP to the first RSRP.

Optionally, the correcting the second weight coefficient, determining the first weight coefficient includes:

Determining a correction factor for the second weight coefficient based on a logarithmic function of the second weight coefficient;

and correcting the second weight coefficient based on the correction factor to obtain the first weight coefficient.

Optionally, the second weight coefficient is corrected based on the correction factor to obtain the first weight coefficient, which satisfies the following calculation formula:

α _idxUE ＝(10·log10μ _idxUE +1)·μ _idxUE

wherein alpha is _idxUE Representing a first weight coefficient, mu, corresponding to the target user equipment _idxUE Representing a second weight coefficient (10 log10 mu) corresponding to the target user equipment _idxUE +1) represents the correction factor.

Optionally, the correcting the second weight coefficient, determining the first weight coefficient includes:

and carrying out root opening processing on the second weight coefficient to determine the first weight coefficient.

Optionally, the root-opening processing is performed on the second weight coefficient, and the first weight coefficient is determined, so that the following calculation formula is satisfied:

wherein alpha is _idxUE Representing a first weight coefficient, mu, corresponding to the target user equipment _idxUE And representing a second weight coefficient corresponding to the target user equipment.

Optionally, the correcting the second weight coefficient, determining the first weight coefficient includes:

Determining a target reference value based on a logarithmic function of the reciprocal of the second weight coefficient;

and determining the first weight coefficient as the reciprocal of the target reference value.

Optionally, the determining the first weight coefficient is the reciprocal of the target reference value, and satisfies the following calculation formula:

wherein alpha is _idxUE Representing a first weight coefficient, mu, corresponding to the target user equipment _idxUE Representing a second weight coefficient corresponding to the target user equipment, representing the target reference value.

In a second aspect, an embodiment of the present application further provides an electronic device, including a memory, a transceiver, and a processor, where:

a memory for storing a computer program; a transceiver for transceiving data under control of the processor; a processor for reading the computer program in the memory and implementing the steps of the shaping channel selection method as described in the first aspect.

In a third aspect, an embodiment of the present application further provides a shaping channel selection apparatus, including:

a first determining unit, configured to determine a weighted RSRP corresponding to a target user equipment based on a first weight coefficient corresponding to the target user equipment in a target shaping channel and a first reference signal received power RSRP corresponding to the target user equipment; the fluctuation of the weighted RSRP corresponding to all user equipment in the target forming channel is smaller than a preset threshold;

A second determining unit, configured to determine uplink weighted signal power corresponding to the target shaping channel based on a sum of weighted RSRP corresponding to all user equipments in the target shaping channel;

and the third determining unit is used for carrying out descending order sorting processing on all the shaping channels based on the uplink weighted signal power corresponding to each shaping channel before channel selection, and determining a preset number of shaping channels.

In a fourth aspect, embodiments of the present application also provide a processor-readable storage medium storing a computer program for causing the processor to execute the steps of the shaping channel selection method according to the first aspect as described above.

In a fifth aspect, embodiments of the present application also provide a computer-readable storage medium storing a computer program for causing a computer to execute the steps of the forming channel selection method provided in the first aspect as described above.

In a sixth aspect, embodiments of the present application also provide a communication device readable storage medium storing a computer program for causing a communication device to perform the steps of the shaping channel selection method provided in the first aspect as described above.

In a seventh aspect, embodiments of the present application also provide a chip product readable storage medium storing a computer program for causing a chip product to perform the steps of the shaping channel selection method provided in the first aspect as described above.

Before shaping channel selection, the shaping channel selection method, the shaping channel selection device and the storage medium provided by the embodiment of the application carry out weighting processing on RSRP corresponding to all user equipment in each shaping channel, so that fluctuation of the weighted RSRP corresponding to different user equipment is smaller than a preset threshold value, weight occupied by a low-power user in the selected shaping channel is increased, weight occupied by a high-power user in the selected shaping channel is weakened, influence of power imbalance among users on shaping channel selection is reduced, possibility that the shaping channel where the low-power user is located is selected is improved, and uplink user detection probability of a system is improved.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a schematic diagram of a signal processing flow of a beamforming method based on received data provided in the prior art;

fig. 2 is a schematic diagram of a signal processing flow of a beamforming method based on channel estimation provided in the prior art;

FIG. 3 is a schematic flow chart of a forming channel selection method according to an embodiment of the present application;

FIG. 4 is a second flow chart of a forming channel selection method according to an embodiment of the present application;

FIG. 5 is a third flow chart of a forming channel selection method according to an embodiment of the present application;

fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application;

fig. 7 is a schematic structural diagram of a shaping channel selection device according to an embodiment of the present application.

Detailed Description

In order to better describe the technical solution in the embodiments of the present application, the following description will introduce related knowledge.

Fig. 1 is a schematic signal processing flow diagram of a beamforming method based on received data provided in the prior art, and fig. 2 is a schematic signal processing flow diagram of a beamforming method based on channel estimation provided in the prior art, as shown in fig. 1 and fig. 2, in order to improve uplink user detection probability of an NR system of Massive MIMO, currently, the main stream technology performs receiving and shaping processing on a PUCCH channel, where the receiving and shaping methods include a beamforming method based on received data and a beamforming method based on channel estimation.

After receiving and shaping, signal energy contained in different receiving channels is not uniform, so in the prior art, the receiving channel choice is determined by measuring the RSRP/RSSI of the total users in different receiving channels and comparing with a preset threshold, and although the uplink user detection probability can be obviously improved, the PUCCH Format1 is configured, and when power among users is unbalanced, larger performance loss is brought to low-power users.

For the configuration of the PUCCH, especially the Format1, on one hand, multi-user multiplexing needs to be supported, namely, the condition of mutual interference among users exists, the working interval of the PUCCH is generally below-125 dBm and is far lower than the background noise level, and therefore the selection accuracy of the shaping channel in the prior art is poor.

On the other hand, when the number of multiplexing users is large, and the angle expansion effect of the channels is added, the angle expansion causes space selective fading, the distribution of the user energy in each beam is relatively uniform, and most of the energy of some users may be lost in the scheme of channel selection based on RSSI/RSRP in the prior art, so that the performance of the users is limited. The PUCCH Format configuration may involve an application scenario of multiplexing up to 84 users, where the larger the number of multiplexed users, the greater the probability of the occurrence of the foregoing phenomenon.

Aiming at the problems in the prior art, the embodiment of the application provides a shaping channel selection method, a device and a storage medium, which aim to improve the PUCCH access success rate, design the weight coefficient of shaping channel selection, improve the selection weight of small-power users in a selected shaping channel, reduce the selection weight of high-power users in the selected shaping channel, finally improve the possibility that the shaping channel where the small-power users are located is selected, and reduce the influence of power imbalance among users on the shaping channel selection.

In the embodiment of the application, the term "and/or" describes the association relation of the association objects, which means that three relations can exist, for example, a and/or B can be expressed as follows: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship.

The term "plurality" in embodiments of the present application means two or more, and other adjectives are similar.

The technical scheme provided by the embodiment of the application can be suitable for various systems, in particular to a 5G system. For example, suitable systems may be global system for mobile communications (Global System of Mobile Communication, GSM), code division multiple access (Code Division Multiple Access, CDMA), wideband code division multiple access (Wideband Code Division Multiple Access, WCDMA) universal packet Radio service (Aeneral Packet Radio Service, GPRS), long term evolution (Long Term Evolution, LTE), LTE frequency division duplex (Frequency Division Duplex, FDD), LTE time division duplex (Time Division Duplex, TDD), long term evolution-advanced (Long Term Evolution Advanced, LTE-a), universal mobile system (Universal Mobile Telecommunication System, UMTS), worldwide interoperability for microwave access (Worldwide Interoperability for Microwave Access, wiMAX), 5G New air interface (New Radio, NR), and the like. Terminal devices and network devices are included in these various systems. Core network parts such as evolved packet system (Evloved Packet System, EPS), 5G system (5 GS) etc. may also be included in the system.

The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

Fig. 3 is a schematic flow chart of a shaping channel selection method according to an embodiment of the present application, as shown in fig. 3, the method at least includes the following steps:

step 301, determining a weighted RSRP corresponding to a target user equipment based on a first weight coefficient corresponding to the target user equipment in a target shaping channel and a first reference signal received power RSRP corresponding to the target user equipment; the fluctuation of the weighted RSRP corresponding to all user equipment in the target forming channel is smaller than a preset threshold;

specifically, the shaping channel selection method in the embodiment of the present application is designed based on the known probability control relationship between the sounding reference signal (Sounding Reference Signal, SRS) channel and the PUCCH channel, and the network device, for example, the base station, acquires, through network configuration information, a Resource Block (RB) level probability relative relationship between the PUCCH signal and the SRS signal sent by each User Equipment (UE) itself.

The target shaping channel is any one of all shaping channels before channel selection. A plurality of user equipment are correspondingly arranged in one shaping channel, firstly, the reference signal receiving power corresponding to each user equipment of SRS/PUCCH signals in a target shaping channel is acquired, the first RSRP corresponding to the target user equipment in the target shaping channel is subjected to weighting processing, and the weighted RSRP corresponding to the target user equipment is determined based on the first weight coefficient corresponding to the target user equipment and the first RSRP corresponding to the target user equipment.

The RSRP corresponding to the user equipment is weighted to increase the weight occupied by the low-power user in the selected shaping channel in the subsequent shaping channel selection process and weaken the weight occupied by the high-power user in the selected shaping channel. The size of the first weight coefficient is designed based on the principle of power balance among users in the selected shaping channel, so that fluctuation of the weighted RSRP corresponding to all user equipment is ensured to be smaller than a preset threshold, and the size of the preset threshold can be set according to actual needs.

Whether the fluctuation of the weighted RSRP corresponding to all the user equipment exceeds the preset threshold value or not can be measured by means of variance, standard deviation and the like among the weighted RSRP, and the method is not limited in the embodiment of the application. Taking the variance as an example, this can be expressed by the following function:

Wherein N is _UE Representing the number of all user equipments in the target shaping channel, RSRP' _idxUE Representing a weighted RSRP, RSRP 'corresponding to the target user equipment' _avg Representing the average value of the weighted RSRP corresponding to all the user equipments in the target shaping channel.

For PUCCH channels, especially for Format 1 multi-user multiplexing configuration, when the numerical value of the function is smaller, the smaller the data fluctuation of the weighted RSRP corresponding to each user equipment is, the smaller the influence of power imbalance among the user equipment is in the shaping channel selection process, and the higher the accuracy of shaping channel selection is.

Step 302, determining uplink weighted signal power corresponding to the target shaping channel based on the sum of weighted RSRP corresponding to all user equipment in the target shaping channel;

specifically, after the weighted RSRP corresponding to all the user equipments in the target shaping channel is obtained, determining the uplink weighted signal power corresponding to the target shaping channel based on the sum of the weighted RSRP corresponding to all the user equipments in the target shaping channel.

The uplink weighted signal power corresponding to the target shaping channel can be determined by the following calculation formula:

wherein, the liquid crystal display device comprises a liquid crystal display device,representing the uplink weighted signal power corresponding to the ith shaping channel in Nr shaping channels, N _UE Representing the total number of user equipments, alpha, in the ith shaping channel _idxUE Representing a first weight coefficient corresponding to the target user device,and the first RSRP corresponding to the target user equipment in the ith shaping channel is represented.

Step 303, performing descending order sorting processing on all shaping channels based on the uplink weighted signal power corresponding to each shaping channel before channel selection, and determining a preset number of shaping channels.

Specifically, when the uplink weighted signal power of each shaping channel before channel selection is obtainedAfterwards, corresponding +.>And (3) performing descending order sorting, selecting channel numbers or index numbers of the first N shaping channels, and sending the channel numbers or index numbers to a channel selection function module of the PUCCH signal for processing. The value of the preset number N may be selected according to the actual situation.

Compared with the method that the sum of the first RSRP corresponding to all the user equipment in the shaping channels is directly used as the uplink signal power of the shaping channels, the descending order sorting processing is carried out on the uplink signal power of each shaping channel to select the shaping channels. The more power users in a shaping channel, the less uplink signal power the shaping channel may be, and the less probability the shaping channel is selected. After the weighting process, the data fluctuation of the weighted RSRP corresponding to each user equipment is reduced compared with the data fluctuation of the first unweighted RSRP, and the influence of the power imbalance among users in the subsequent shaping channel selection process is reduced, so that the shaping channel can be more accurately selected.

Before the shaping channel is selected, the shaping channel selection method provided by the embodiment of the application carries out weighting processing on the RSRP corresponding to all user equipment in each shaping channel, so that the fluctuation of the weighted RSRP corresponding to different user equipment is smaller than a preset threshold value, the weight occupied by a low-power user in the selected shaping channel is increased, the weight occupied by a high-power user in the selected shaping channel is weakened, the influence of power imbalance among users on the shaping channel selection is reduced, the possibility that the shaping channel where the low-power user is located is selected is improved, and the uplink user detection probability of the system is improved.

Optionally, the method further comprises:

determining a second weight coefficient corresponding to the target user equipment based on a second RSRP and the first RSRP corresponding to the target user equipment; the second RSRP is determined based on the RSRP corresponding to the user equipment in the target forming channel;

and correcting the second weight coefficient and determining the first weight coefficient.

Specifically, when the first RSRP corresponding to each user equipment is weighted, an initial weight, that is, a second weight coefficient, may be determined first, and then the second weight coefficient is corrected to obtain a final first weight coefficient.

And determining a second RSRP based on the first RSRP corresponding to the user equipment in the target shaping channel. For example, the RSRP corresponding to the minimum power user, the RSRP corresponding to the maximum power user, the average value of all the first RSRP, etc.

And determining a second weight coefficient corresponding to the target user equipment based on the second RSRP and the first RSRP corresponding to the target user equipment. The ratio of the second RSRP to the first RSRP is used as a second weight coefficient. Taking the second RSRP as the minimum RSRP as an example, the second weight coefficient satisfies the following calculation formula:

wherein mu _idxUE Representing a second weight coefficient corresponding to the target user equipment; RSRP _min Representing a second RSRP, namely the RSRP corresponding to the minimum power user; RSRP _idxUE And the first RSRP corresponding to the target user equipment is indicated.

Taking the second RSRP as the maximum RSRP as an example, the second weight coefficient satisfies the following calculation formula:

wherein mu _idxUE Representing a second weight coefficient corresponding to the target user equipment; RSRP _max Representing a second RSRP, namely the RSRP corresponding to the maximum power user; RSRP _idxUE And the first RSRP corresponding to the target user equipment is indicated.

If the first RSRP corresponding to the target ue is directly weighted by the second weight coefficient, the weighted RSRP corresponding to all ues will be equal to the second RSRP, and the sorting process in the subsequent channel selection process cannot be completed. Therefore, the second weight coefficient needs to be corrected to obtain the final first weight coefficient.

In the process of determining the weight coefficient, the principle of power balance among users is followed, and the resolvable reliability maximization of all users is ensured on the premise that the demodulation thresholds of all users are the same. In the process of determining the second weight coefficient, adopting a linear mode; in the process of correcting the second weight coefficient, a nonlinear mode is adopted, so that the weighted RSRP corresponding to each user equipment is different but the data fluctuation is as small as possible.

Optionally, the determining, for the minimum value in RSRP corresponding to all user equipments in the target shaping channel, the second weight coefficient corresponding to the target user equipment includes:

and determining a second weight coefficient corresponding to the target user equipment based on the ratio of the second RSRP to the first RSRP.

Specifically, the second RSRP is the minimum value of RSRP corresponding to all user equipments in the target shaping channel, that is, the second RSRP is RSRP _min 。

Based on the ratio of the second RSRP to the first RSRP, determining a second weight coefficient corresponding to the target user equipment can be represented by the following calculation formula:

wherein mu _idxUE Representing a second weight coefficient corresponding to the target user equipment; RSRP _min Representing a second RSRP, namely the RSRP corresponding to the minimum power user; RSRP _idxUE And the first RSRP corresponding to the target user equipment is indicated.

After the second weight coefficient is determined based on the ratio of the second RSRP to the first RSRP by taking the RSRP corresponding to the user equipment with the minimum RSRP as the second RSRP, various schemes exist for obtaining the first weight coefficient by correcting the second weight coefficient. Three different implementations are presented in the embodiments of the present application.

In a first aspect, optionally, the modifying the second weight coefficient, determining the first weight coefficient includes:

determining a correction factor for the second weight coefficient based on a logarithmic function of the second weight coefficient;

and correcting the second weight coefficient based on the correction factor to obtain the first weight coefficient.

Specifically, a correction factor of the second weight coefficient is determined based on a logarithmic function of the second weight coefficient, and then the second weight coefficient is corrected based on the correction factor to obtain a first weight coefficient corresponding to the target user equipment.

One possible implementation manner is to take the logarithm of the second weight coefficient and then add a constant to obtain a correction factor of the second weight coefficient, so as to ensure that the weighted RSRP corresponding to the low-power user is still smaller than the weighted RSRP corresponding to the high-power user, thereby achieving the effect of reducing the influence of the power imbalance among users on the selection of the shaping channel.

Optionally, the second weight coefficient is corrected based on the correction factor to obtain the first weight coefficient, which satisfies the following calculation formula:

α _idxUE ＝(10·log10μ _idxUE +1)·μ _idxUE

wherein alpha is _idxUE Representing a first weight coefficient, mu, corresponding to the target user equipment _idxUE Representing a second weight coefficient corresponding to the target user equipment10·log10μ _idxUE +1) represents the correction factor.

Specifically, the second weight coefficient satisfies:

wherein mu _idxUE Representing a second weight coefficient corresponding to the target User Equipment (UE), RSRP _min Represents a second RSRP, RSRP _idxUE Representing a first RSRP.

Firstly, constructing a correction factor of a second weight coefficient, which can be specifically: taking the logarithm of the second weight coefficient and adding a constant 1, and satisfying the following calculation formula:

σ _idxUE ＝10·log10μ _idxUE +1

wherein sigma _idxUE Represents the correction factor, mu _idxUE And representing a second weight coefficient corresponding to the target user equipment. The constant 1 may also be another constant, and may be specifically selected according to the magnitude of the data fluctuation of the weighted RSRP.

Correcting the second weight coefficient by using the correction factor to obtain a first weight coefficient, wherein the first weight coefficient meets the following calculation formula:

α _idxUE ＝σ _idxUE ·μ _idxUE

wherein alpha is _idxUE Representing a first weight coefficient, sigma, corresponding to the target user equipment _idxUE Represents the correction factor, mu _idxUE And representing a second weight coefficient corresponding to the target user equipment.

Before the shaping channel selection, the shaping channel selection method provided by the embodiment of the application carries out linear weighting on the first RSRP corresponding to each user equipment through the second RSRP corresponding to the minimum power user to obtain the second weight coefficient, then carries out nonlinear correction on the second weight coefficient through a logarithmic function to determine the final first weight coefficient, and uses the first weight coefficient to weight the first RSRP corresponding to each user equipment, so that the fluctuation of the weighted RSRP corresponding to different user equipment is smaller than a preset threshold value, the weight occupied by the low power user in the selected shaping channel is increased, the weight occupied by the high power user in the selected shaping channel is weakened, the influence of power imbalance among users on the shaping channel selection is reduced, the probability that the shaping channel where the low power user is located is selected is improved, and the uplink user detection probability of the system is improved.

In a second aspect, optionally, the correcting the second weight coefficient, determining the first weight coefficient includes:

and carrying out root opening processing on the second weight coefficient to determine the first weight coefficient.

Specifically, the second weight coefficient is opened to the root number, the first weight coefficient corresponding to the target user equipment is determined, and the second weight coefficient is opened to the root number, which may be a secondary root number, a tertiary root number, etc. The embodiments of the present application are not limited.

The larger the first RSRP corresponding to the user equipment is, the smaller the first weight coefficient obtained after the root number processing of the second weight coefficient is; the smaller the first RSRP corresponding to the user equipment is, the larger the first weight coefficient obtained after the root number of the second weight coefficient is processed is, so that the data fluctuation of the weighted RSRP corresponding to each user equipment is far smaller than the data fluctuation of the unweighted RSRP, and the influence of power unbalance among users on the weight selection of the shaping channel is effectively reduced.

Optionally, the root-opening processing is performed on the second weight coefficient, and the first weight coefficient is determined, so that the following calculation formula is satisfied:

wherein alpha is _idxUE Representing a first weight coefficient, mu, corresponding to the target user equipment _idxUE And representing a second weight coefficient corresponding to the target user equipment.

Specifically, the second weight coefficient is opened by a quadratic root number, and a first weight coefficient corresponding to the target user equipment is determined.

Before the shaping channel selection, the shaping channel selection method provided by the embodiment of the application carries out linear weighting on the first RSRP corresponding to each user equipment through the second RSRP corresponding to the minimum power user to obtain the second weight coefficient, then carries out root number opening on the second weight coefficient to obtain the final first weight coefficient, and weights the first RSRP corresponding to each user equipment by utilizing the first weight coefficient, so that the fluctuation of the weighted RSRP corresponding to different user equipment is smaller than a preset threshold value, the weight occupied by the low power user in the selected shaping channel is increased, the weight occupied by the high power user in the selected shaping channel is weakened, the influence of power unbalance among users on the shaping channel selection is reduced, the probability that the shaping channel where the low power user is located is selected is improved, and the uplink user detection probability of the system is improved.

In a third aspect, optionally, the correcting the second weight coefficient, determining the first weight coefficient includes:

determining a target reference value based on a logarithmic function of the reciprocal of the second weight coefficient;

and determining the first weight coefficient as the reciprocal of the target reference value.

Specifically, a target reference value is determined based on a logarithmic function of the reciprocal of the second weight coefficient, and then the reciprocal of the target reference value is taken as the first weight coefficient corresponding to the target user equipment.

One possible implementation manner is to obtain a target reference value by taking the reciprocal of the second weight coefficient and adding a constant, and then taking the reciprocal of the target reference value as the first weight coefficient. The weighted RSRP corresponding to the low-power users is still smaller than the weighted RSRP corresponding to the high-power users while the data fluctuation of the weighted RSRP corresponding to each user equipment is smaller, so that the effect of reducing the influence of power imbalance among users on the selection of the shaping channel is achieved.

Optionally, the determining the first weight coefficient is the reciprocal of the target reference value, and satisfies the following calculation formula:

wherein alpha is _idxUE Representing a first weight coefficient, mu, corresponding to the target user equipment _idxUE Representing a second weight coefficient corresponding to the target user equipment, representing the target reference value.

Specifically, the second weight coefficient satisfies:

wherein mu _idxUE Representing a second weight coefficient corresponding to the target User Equipment (UE), RSRP _min Represents a second RSRP, RSRP _idxUE Representing a first RSRP.

Firstly, constructing a logarithmic function of the reciprocal of the second weight coefficient, which can be specifically: taking the logarithm of the reciprocal of the second weight coefficient, and adding a constant 1 to obtain a target reference value, wherein the target reference value satisfies the following calculation formula:

wherein sigma _idxUE Represents the target reference value, mu _idxUE And representing a second weight coefficient corresponding to the target user equipment. The constant 1 may also be another constant, and may be specifically selected according to the magnitude of the data fluctuation of the weighted RSRP.

Taking the reciprocal of the target reference value to obtain a first weight coefficient, and satisfying the following calculation formula:

wherein alpha is _idxUE Representing a first weight coefficient, sigma, corresponding to the target user equipment _idxUE Representing the target reference value.

Before the shaping channel selection, the shaping channel selection method provided by the embodiment of the application carries out linear weighting on the first RSRP corresponding to each user equipment through the second RSRP corresponding to the minimum power user to obtain the second weight coefficient, then corrects the reciprocal of the second weight coefficient through a logarithmic function, then takes the reciprocal as the final first weight coefficient, and weights the first RSRP corresponding to each user equipment through the first weight coefficient, so that the fluctuation of the weighted RSRP corresponding to different user equipment is smaller than a preset threshold value, the weight occupied by the low-power user in the selected shaping channel is increased, the weight occupied by the high-power user in the selected shaping channel is weakened, the influence of power unbalance among users on the shaping channel selection is reduced, the possibility that the shaping channel where the low-power user is located is selected is improved, and the uplink user detection probability of the system is improved.

The following describes a beamforming weight determining method provided by the embodiment of the present application with a specific example:

fig. 4 is a second schematic flow chart of a shaping channel selection method according to an embodiment of the present application, and fig. 5 is a third schematic flow chart of a shaping channel selection method according to an embodiment of the present application, in which, as shown in fig. 4 and 5, compared with the shaping channel selection method in the prior art, the steps of channel weight coefficient generation and pseudo RSRP sorting/channel index selection are newly added.

The channel weight coefficient generation may be determined by the following three schemes:

scheme one: (1) determining RSRP corresponding to each user equipment of SRS/PUCCH signals in shaping channel _idxUE . idx is the meaning of index and sequence number, and is used for distinguishing different UEs.

(2) Determining a minimum power user:

RSRP _min ＝min(RSRP _UE )

(3) determining RSRP _min And RSRP _idxUE Namely, acquiring an initial weight coefficient corresponding to each user equipment:

(4) correcting the initial weight coefficient, and correcting mu _idxUE Taking the logarithm plus 1, a correction factor is obtained:

σ _idxUE ＝10·log10μ _idxUE +1

(5) determining a final weight coefficient:

α _idxUE ＝σ _idxUE ·μ _idxUE

scheme II: (1) determining RSRP corresponding to each user equipment of SRS/PUCCH signals in shaping channel _idxUE 。

(2) Determining a minimum power user:

RSRP _min ＝min(RSRP _UE )

(3) Determining RSRP _min And RSRP _idxUE Namely, acquiring an initial weight coefficient corresponding to each user equipment:

(4) reconstructing the initial weight coefficient and determining the final weight coefficient:

scheme III: (1) determining RSRP corresponding to each user equipment of SRS/PUCCH signals in shaping channel _idxUE 。

(2) Determining a minimum power user:

RSRP _min ＝min(RSRP _UE )

(3) determining RSRP _min And RSRP _idxUE Namely, acquiring an initial weight coefficient corresponding to each user equipment:

(4) for initial weighting systemNumber is corrected to mu _idxUE The reciprocal of (2) is added with 1 and then the reciprocal is obtained, so as to obtain the final weight coefficient:

the pseudo RSRP ordering/channel index selection specifically includes the steps of:

(1) firstly, determining the uplink weighted signal power of each shaping channel according to the weight coefficient:

(2) when the uplink weighted signal power of the target shaping channel is obtainedAfter that, for->And (3) performing descending order sorting, selecting channel numbers or index numbers of the first N shaping channels, and sending the channel numbers or index numbers to a channel selection function module of the PUCCH signal for processing. The value of the preset number N may be selected according to the actual situation.

Fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application, as shown in fig. 6, the electronic device may include: processor 601, communication interface (Communications Interface) 602, memory 603 and communication bus 604, wherein processor 601, communication interface 602, memory 603 complete the communication between each other through communication bus 604. The processor 601 may call a computer program stored on the memory 603 and executable on the processor 601 to perform the steps of:

A processor 601 for reading the computer program in the memory 603 and performing the following operations:

determining a weighted RSRP corresponding to target user equipment based on a first weight coefficient corresponding to the target user equipment in a target shaping channel and a first Reference Signal Received Power (RSRP) corresponding to the target user equipment; the fluctuation of the weighted RSRP corresponding to all user equipment in the target forming channel is smaller than a preset threshold;

determining uplink weighted signal power corresponding to the target forming channel based on the sum of weighted RSRP corresponding to all user equipment in the target forming channel;

and performing descending order sorting processing on all the shaping channels based on the uplink weighted signal power corresponding to each shaping channel before channel selection, and determining a preset number of shaping channels.

Optionally, the operations further comprise:

determining a second weight coefficient corresponding to the target user equipment based on a second RSRP and the first RSRP corresponding to the target user equipment; the second RSRP is determined based on the RSRP corresponding to the user equipment in the target forming channel;

and correcting the second weight coefficient and determining the first weight coefficient.

Optionally, the second RSRP is the minimum value of RSRP corresponding to all user equipments in the target shaping channel, and the determining the second weight coefficient corresponding to the target user equipment includes:

And determining a second weight coefficient corresponding to the target user equipment based on the ratio of the second RSRP to the first RSRP.

Optionally, the correcting the second weight coefficient, determining the first weight coefficient includes:

determining a correction factor for the second weight coefficient based on a logarithmic function of the second weight coefficient;

and correcting the second weight coefficient based on the correction factor to obtain the first weight coefficient.

Optionally, the second weight coefficient is corrected based on the correction factor to obtain the first weight coefficient, which satisfies the following calculation formula:

α _idxUE ＝(10·log10μ _idxUE +1)·μ _idxUE

wherein alpha is _idxUE Representing a first weight coefficient, mu, corresponding to the target user equipment _idxUE Representing a second weight coefficient (10 log10 mu) corresponding to the target user equipment _idxUE +1) represents the correction factor.

Optionally, the correcting the second weight coefficient, determining the first weight coefficient includes:

and carrying out root opening processing on the second weight coefficient to determine the first weight coefficient.

Optionally, the root-opening processing is performed on the second weight coefficient, and the first weight coefficient is determined, so that the following calculation formula is satisfied:

Wherein alpha is _idxUE Representing a first weight coefficient, mu, corresponding to the target user equipment _idxUE And representing a second weight coefficient corresponding to the target user equipment.

Optionally, the correcting the second weight coefficient, determining the first weight coefficient includes:

determining a target reference value based on a logarithmic function of the reciprocal of the second weight coefficient;

and determining the first weight coefficient as the reciprocal of the target reference value.

Optionally, the determining the first weight coefficient is the reciprocal of the target reference value, and satisfies the following calculation formula:

wherein alpha is _idxUE Representing a first weight coefficient, mu, corresponding to the target user equipment _idxUE Representing a second weight coefficient corresponding to the target user equipment, representing the target reference value.

It should be noted that, the electronic device provided in the embodiment of the present application can implement all the method steps implemented in the method embodiment and achieve the same technical effects, and the parts and beneficial effects that are the same as those of the method embodiment in the embodiment are not described in detail herein.

Fig. 7 is a schematic structural diagram of a shaping channel selection device according to an embodiment of the present application, as shown in fig. 7, where the device includes:

The first determining unit 701 determines a weighted RSRP corresponding to a target user equipment based on a first weight coefficient corresponding to the target user equipment in a target shaping channel and a first reference signal received power RSRP corresponding to the target user equipment; the fluctuation of the weighted RSRP corresponding to all user equipment in the target forming channel is smaller than a preset threshold;

a second determining unit 702, configured to determine uplink weighted signal power corresponding to the target shaping channel based on a sum of weighted RSRP corresponding to all user equipments in the target shaping channel;

a third determining unit 703, configured to determine a preset number of shaping channels by performing descending order sorting on all shaping channels based on the uplink weighted signal power corresponding to each shaping channel before channel selection.

Optionally, the apparatus further comprises:

a fourth determining unit, configured to determine a second weight coefficient corresponding to the target user equipment based on a second RSRP and the first RSRP corresponding to the target user equipment; the second RSRP is determined based on the RSRP corresponding to the user equipment in the target forming channel;

and a fifth determining unit, configured to correct the second weight coefficient and determine the first weight coefficient.

Optionally, the second RSRP is a minimum value of RSRP corresponding to all user equipments in the target shaping channel, and the fourth determining unit is further configured to:

and determining a second weight coefficient corresponding to the target user equipment based on the ratio of the second RSRP to the first RSRP.

Optionally, the fifth determining unit is further configured to:

determining a correction factor for the second weight coefficient based on a logarithmic function of the second weight coefficient;

and correcting the second weight coefficient based on the correction factor to obtain the first weight coefficient.

Optionally, the second weight coefficient is corrected based on the correction factor to obtain the first weight coefficient, which satisfies the following calculation formula:

α _idxUE ＝(10·log10μ _idxUE +1)·μ _idxUE

wherein alpha is _idxUE Representing a first weight coefficient, mu, corresponding to the target user equipment _idxUE Representing a second weight coefficient (10 log10 mu) corresponding to the target user equipment _idxUE +1) represents the correction factor.

Optionally, the fifth determining unit is further configured to:

and carrying out root opening processing on the second weight coefficient to determine the first weight coefficient.

Optionally, the root-opening processing is performed on the second weight coefficient, and the first weight coefficient is determined, so that the following calculation formula is satisfied:

Wherein alpha is _idxUE Representing a first weight coefficient, mu, corresponding to the target user equipment _idxUE And representing a second weight coefficient corresponding to the target user equipment.

Optionally, the fifth determining unit is further configured to:

determining a target reference value based on a logarithmic function of the reciprocal of the second weight coefficient;

and determining the first weight coefficient as the reciprocal of the target reference value.

Optionally, the determining the first weight coefficient is the reciprocal of the target reference value, and satisfies the following calculation formula:

wherein alpha is _idxUE Representing a first weight coefficient, mu, corresponding to the target user equipment _idxUE Representing a second weight coefficient corresponding to the target user equipment, representing the target reference value.

The method and the device provided by the embodiments of the present application are based on the same application conception, and because the principles of solving the problems by the method and the device are similar, the implementation of the device and the method can be referred to each other, and the repetition is not repeated.

It should be noted that, in the embodiment of the present application, the division of the units is schematic, which is merely a logic function division, and other division manners may be implemented in actual practice. In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a processor-readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a Processor (Processor) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

It should be noted that, the above device provided in the embodiment of the present application can implement all the method steps implemented in the method embodiment and achieve the same technical effects, and detailed descriptions of the same parts and beneficial effects as those in the method embodiment in this embodiment are omitted.

In another aspect, an embodiment of the present application further provides a processor readable storage medium, where a computer program is stored, where the computer program is configured to cause the processor to execute the shaping channel selection method provided in the foregoing embodiments, for example, including:

determining a weighted RSRP corresponding to target user equipment based on a first weight coefficient corresponding to the target user equipment in a target shaping channel and a first Reference Signal Received Power (RSRP) corresponding to the target user equipment; the fluctuation of the weighted RSRP corresponding to all user equipment in the target forming channel is smaller than a preset threshold;

determining uplink weighted signal power corresponding to the target forming channel based on the sum of weighted RSRP corresponding to all user equipment in the target forming channel;

and performing descending order sorting treatment on all the shaping channels before channel selection based on the uplink weighted signal power corresponding to each shaping channel before channel selection, and determining a preset number of shaping channels.

The processor-readable storage medium may be any available medium or data storage device that can be accessed by a processor, including, but not limited to, magnetic storage (e.g., floppy disks, hard disks, magnetic tape, magneto-optical disks (MOs), etc.), optical storage (e.g., CD, DVD, BD, HVD, etc.), semiconductor storage (e.g., ROM, EPROM, EEPROM, nonvolatile storage (NAND FLASH), solid State Disk (SSD)), and the like.

It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, magnetic disk storage, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-executable instructions. These computer-executable instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These processor-executable instructions may also be stored in a processor-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the processor-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These processor-executable instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the spirit or scope of the application. Thus, it is intended that the present application also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims (20)

1. A method of forming a channel selection, comprising:

determining a weighted RSRP corresponding to target user equipment based on a first weight coefficient corresponding to the target user equipment in a target shaping channel and a first Reference Signal Received Power (RSRP) corresponding to the target user equipment; the fluctuation of the weighted RSRP corresponding to all user equipment in the target forming channel is smaller than a preset threshold;

determining uplink weighted signal power corresponding to the target forming channel based on the sum of weighted RSRP corresponding to all user equipment in the target forming channel;

and performing descending order sorting processing on all the shaping channels based on the uplink weighted signal power corresponding to each shaping channel before channel selection, and determining a preset number of shaping channels.

2. The shaping channel selection method as set forth in claim 1, further comprising:

determining a second weight coefficient corresponding to the target user equipment based on a second RSRP and the first RSRP corresponding to the target user equipment; the second RSRP is determined based on the RSRP corresponding to the user equipment in the target forming channel;

and correcting the second weight coefficient and determining the first weight coefficient.

3. The shaping channel selection method according to claim 2, wherein the second RSRP is a minimum value of RSRP corresponding to all user equipments in the target shaping channel, and the determining the second weight coefficient corresponding to the target user equipment includes:

and determining a second weight coefficient corresponding to the target user equipment based on the ratio of the second RSRP to the first RSRP.

4. A method of forming a channel selection according to claim 3, wherein said modifying said second weight coefficient to determine said first weight coefficient comprises:

determining a correction factor for the second weight coefficient based on a logarithmic function of the second weight coefficient;

and correcting the second weight coefficient based on the correction factor to obtain the first weight coefficient.

5. The method of claim 4, wherein the correcting the second weight coefficient based on the correction factor obtains the first weight coefficient, satisfying the following calculation formula:

α _idxUE ＝(10·log10μ _idxUE +1)·μ _idxUE

wherein alpha is _idxUE Representing a first weight coefficient, mu, corresponding to the target user equipment _idxUE Representing a second weight coefficient (10 log10 mu) corresponding to the target user equipment _idxUE +1) represents the correction factor.

6. A method of forming a channel selection according to claim 3, wherein said modifying said second weight coefficient to determine said first weight coefficient comprises:

and carrying out root opening processing on the second weight coefficient to determine the first weight coefficient.

7. The method for forming a channel according to claim 6, wherein the root-number processing is performed on the second weight coefficient to determine the first weight coefficient, and the following calculation formula is satisfied:

wherein alpha is _idxUE Representing a first weight coefficient, mu, corresponding to the target user equipment _idxUE And representing a second weight coefficient corresponding to the target user equipment.

8. A method of forming a channel selection according to claim 3, wherein said modifying said second weight coefficient to determine said first weight coefficient comprises:

determining a target reference value based on a logarithmic function of the reciprocal of the second weight coefficient;

and determining the first weight coefficient as the reciprocal of the target reference value.

9. The method of claim 8, wherein the determining the first weight coefficient is the inverse of the target reference value, satisfying the following calculation formula:

Wherein alpha is _idxUE Representing a first weight coefficient, mu, corresponding to the target user equipment _idxUE Representing a second weight coefficient corresponding to the target user equipment, representing the target reference value.

10. An electronic device includes a memory, a transceiver, and a processor; the method is characterized in that:

a memory for storing a computer program; a transceiver for transceiving data under control of the processor; a processor for reading the computer program in the memory and performing the following operations:

determining a weighted RSRP corresponding to target user equipment based on a first weight coefficient corresponding to the target user equipment in a target shaping channel and a first Reference Signal Received Power (RSRP) corresponding to the target user equipment; the fluctuation of the weighted RSRP corresponding to all user equipment in the target forming channel is smaller than a preset threshold;

determining uplink weighted signal power corresponding to the target forming channel based on the sum of weighted RSRP corresponding to all user equipment in the target forming channel;

and performing descending order sorting processing on all the shaping channels based on the uplink weighted signal power corresponding to each shaping channel before channel selection, and determining a preset number of shaping channels.

11. The electronic device of claim 10, wherein the operations further comprise:

determining a second weight coefficient corresponding to the target user equipment based on a second RSRP and the first RSRP corresponding to the target user equipment; the second RSRP is determined based on the RSRP corresponding to the user equipment in the target forming channel;

and correcting the second weight coefficient and determining the first weight coefficient.

12. The electronic device of claim 11, wherein the second RSRP is a minimum value of RSRP corresponding to all user devices in the target shaping channel, and the determining the second weight coefficient corresponding to the target user device comprises:

and determining a second weight coefficient corresponding to the target user equipment based on the ratio of the second RSRP to the first RSRP.

13. The electronic device of claim 12, wherein the modifying the second weight coefficient to determine the first weight coefficient comprises:

determining a correction factor for the second weight coefficient based on a logarithmic function of the second weight coefficient;

and correcting the second weight coefficient based on the correction factor to obtain the first weight coefficient.

14. The electronic device of claim 13, wherein the correction of the second weight coefficient based on the correction factor results in the first weight coefficient satisfying the following calculation formula:

α _idxUE ＝(10·log10μ _idxUE +1)·μ _idxUE

wherein alpha is _idxUE Representing a first weight coefficient, mu, corresponding to the target user equipment _idxUE Representing a second weight coefficient (10 log10 mu) corresponding to the target user equipment _idxUE +1) represents the correction factor.

15. The electronic device of claim 12, wherein the modifying the second weight coefficient to determine the first weight coefficient comprises:

and carrying out root opening processing on the second weight coefficient to determine the first weight coefficient.

16. The electronic device of claim 15, wherein the root-number processing is performed on the second weight coefficient to determine the first weight coefficient, and the following calculation formula is satisfied:

wherein alpha is _idxUE Representing a first weight coefficient, mu, corresponding to the target user equipment _idxUE And representing a second weight coefficient corresponding to the target user equipment.

17. The electronic device of claim 12, wherein the modifying the second weight coefficient to determine the first weight coefficient comprises:

Determining a target reference value based on a logarithmic function of the reciprocal of the second weight coefficient;

and determining the first weight coefficient as the reciprocal of the target reference value.

18. The electronic device of claim 17, wherein the determining the first weight coefficient is the inverse of the target reference value, satisfying the following calculation formula:

wherein alpha is _idxUE Representing a first weight coefficient, mu, corresponding to the target user equipment _idxUE Representing a second weight coefficient corresponding to the target user equipment, representing the target reference value.

19. A method of forming a channel selection, comprising:

a first determining unit, configured to determine a weighted RSRP corresponding to a target user equipment based on a first weight coefficient corresponding to the target user equipment in a target shaping channel and a first reference signal received power RSRP corresponding to the target user equipment; the fluctuation of the weighted RSRP corresponding to all user equipment in the target forming channel is smaller than a preset threshold;

a second determining unit, configured to determine uplink weighted signal power corresponding to the target shaping channel based on a sum of weighted RSRP corresponding to all user equipments in the target shaping channel;

And the third determining unit is used for carrying out descending order sorting processing on all the shaping channels based on the uplink weighted signal power corresponding to each shaping channel before channel selection, and determining a preset number of shaping channels.

20. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for causing a computer to execute the method of any one of claims 1 to 9.