WO2022104993A1 - 天波大规模mimo通信方法、模型及*** - Google Patents
天波大规模mimo通信方法、模型及*** Download PDFInfo
- Publication number
- WO2022104993A1 WO2022104993A1 PCT/CN2020/137876 CN2020137876W WO2022104993A1 WO 2022104993 A1 WO2022104993 A1 WO 2022104993A1 CN 2020137876 W CN2020137876 W CN 2020137876W WO 2022104993 A1 WO2022104993 A1 WO 2022104993A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- sky
- wave
- massive mimo
- base station
- communication
- Prior art date
Links
- 230000006854 communication Effects 0.000 title claims abstract description 247
- 238000004891 communication Methods 0.000 title claims abstract description 242
- 238000000034 method Methods 0.000 title claims abstract description 60
- 230000005540 biological transmission Effects 0.000 claims abstract description 72
- 230000008054 signal transmission Effects 0.000 claims abstract description 34
- 239000013598 vector Substances 0.000 claims description 53
- 238000006243 chemical reaction Methods 0.000 claims description 35
- 238000012545 processing Methods 0.000 claims description 28
- 239000011159 matrix material Substances 0.000 claims description 25
- 238000001514 detection method Methods 0.000 claims description 20
- 230000008569 process Effects 0.000 claims description 20
- 238000005070 sampling Methods 0.000 claims description 15
- 238000013179 statistical model Methods 0.000 claims description 10
- 238000003491 array Methods 0.000 claims description 8
- 238000012544 monitoring process Methods 0.000 claims description 5
- 238000001228 spectrum Methods 0.000 abstract description 4
- 238000010586 diagram Methods 0.000 description 8
- 230000004044 response Effects 0.000 description 8
- 239000000969 carrier Substances 0.000 description 7
- 239000005433 ionosphere Substances 0.000 description 7
- 239000013256 coordination polymer Substances 0.000 description 5
- 230000014509 gene expression Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 125000004122 cyclic group Chemical group 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000003595 spectral effect Effects 0.000 description 2
- 238000011144 upstream manufacturing Methods 0.000 description 2
- 238000000342 Monte Carlo simulation Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000010267 cellular communication Effects 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000012512 characterization method Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000005562 fading Methods 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000017105 transposition Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0413—MIMO systems
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0413—MIMO systems
- H04B7/0456—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/22—Scatter propagation systems, e.g. ionospheric, tropospheric or meteor scatter
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
- H04B17/345—Interference values
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/391—Modelling the propagation channel
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/391—Modelling the propagation channel
- H04B17/3912—Simulation models, e.g. distribution of spectral power density or received signal strength indicator [RSSI] for a given geographic region
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/26—Systems using multi-frequency codes
- H04L27/2601—Multicarrier modulation systems
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/26—Systems using multi-frequency codes
- H04L27/2601—Multicarrier modulation systems
- H04L27/2602—Signal structure
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L5/00—Arrangements affording multiple use of the transmission path
- H04L5/0001—Arrangements for dividing the transmission path
- H04L5/0014—Three-dimensional division
- H04L5/0023—Time-frequency-space
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L5/00—Arrangements affording multiple use of the transmission path
- H04L5/003—Arrangements for allocating sub-channels of the transmission path
- H04L5/0037—Inter-user or inter-terminal allocation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L5/00—Arrangements affording multiple use of the transmission path
- H04L5/003—Arrangements for allocating sub-channels of the transmission path
- H04L5/0058—Allocation criteria
- H04L5/006—Quality of the received signal, e.g. BER, SNR, water filling
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W88/00—Devices specially adapted for wireless communication networks, e.g. terminals, base stations or access point devices
- H04W88/08—Access point devices
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/26—Systems using multi-frequency codes
- H04L27/2601—Multicarrier modulation systems
- H04L27/2626—Arrangements specific to the transmitter only
- H04L27/2646—Arrangements specific to the transmitter only using feedback from receiver for adjusting OFDM transmission parameters, e.g. transmission timing or guard interval length
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Definitions
- the invention belongs to the field of sky wave communication, and in particular relates to a sky wave communication method and system using a short-wave band massive MIMO (multiple input multiple output) antenna array.
- massive MIMO multiple input multiple output
- sky-wave communication In order to effectively improve the rate performance and reliability of the sky-wave communication system, some existing works have introduced the MIMO technology into the short-wave band sky-wave communication. However, most of them are point-to-point MIMO, and only a small increase in system rate performance can be obtained.
- Massive MIMO communication can serve a large number of end users on the same time-frequency resource by configuring a large number of antenna units in the base station, thereby significantly improving the system spectral efficiency, power efficiency, transmission rate and reliability.
- Massive MIMO has become one of the key technologies for fifth-generation (5G) mobile communication systems, and has been extensively studied in the sub-6G band, millimeter wave/terahertz band, and optical band.
- the invention provides a sky-wave communication method and system for configuring a short-wave band massive MIMO antenna array in a base station.
- the present invention discloses a sky wave massive MIMO communication method, model and system, which greatly improves the spectrum and power efficiency, transmission bandwidth and distance, speed and terminal capacity of sky wave communication.
- a sky-wave massive MIMO communication method of the present invention includes: using a large-scale antenna array to construct a sky-wave communication base station in the short-wave band, and the sky-wave communication base station and user terminals in the coverage area perform sky-wave massive MIMO communication through ionospheric reflection.
- Skywave communication base station determines the spacing of large-scale antenna arrays according to the highest operating frequency, and uses time division duplex TDD communication to communicate with user terminals.
- Skywave massive MIMO signal transmission adopts orthogonal frequency division multiplexing OFDM or its power efficiency improved modulation.
- Skywave communication base station selects the communication carrier frequency within the short-wave band according to the real-time ionospheric channel characteristics, and adaptively selects OFDM modulation parameters and signal frame structure; Users perform scheduling to form space-division user groups. Different user groups use different communication time-frequency resources to perform sky-wave massive MIMO signal transmission with the sky-wave communication base station. User terminals in the same user group use the same time-frequency resources to communicate with the sky-wave communication base station. MIMO signal transmission.
- the large-scale antenna array of the sky-wave communication base station is a linear array composed of antennas in the short-wave band.
- the spacing of the large-scale antenna arrays of the sky-wave communication base station is the highest operating frequency or a half-wavelength corresponding to the highest operating frequency.
- the short-wave band range is 1.6MHz-30MHz.
- the communication carrier frequency is determined by the frequency selection system of the sky wave communication base station. With the change of external factors such as seasons, day and night, and weather, the sky wave communication base station realizes the frequency selection function through passive monitoring and active detection; during the active detection process, the sky wave communication base station sends The dedicated channel detection signal uses the received short-wave full-band signal to implement dynamic frequency selection and interference detection. Generally, the frequency point with less interference should be selected as the current working carrier frequency.
- the sky wave TDD communication method uses the same frequency band for uplink and downlink transmission, and the time occupied by the uplink and downlink transmission in one frequency band is adjusted as required.
- the Sky-Wave Massive MIMO signal transmission adopts OFDM or its improved power efficiency modulation mode, specifically: Sky-Wave Massive MIMO downlink signal transmission adopts OFDM modulation mode, and Sky-Wave Massive MIMO uplink signal transmission adopts OFDM modulation or its improved power efficiency. . Including discrete Fourier transform DFT spread OFDM.
- the user statistical channel information required for user scheduling is the statistical channel information in the OFDM subcarrier domain used by each user terminal.
- the sky-wave massive MIMO communication time-frequency resources are OFDM modulation symbols and OFDM-modulated subcarriers.
- the sky-wave massive MIMO signal transmission performed by the same time-frequency resource and the sky-wave communication base station is specifically as follows: each user terminal in the same user group sends and receives signals on the same time-frequency resource; The channel information of the user terminal is calculated, and the uplink receiver and downlink precoder of the user terminal are calculated to receive and transmit signals.
- the uplink receiver and the downlink precoder are calculated based on the minimum mean square error criterion or the polynomial expansion type or the deterministic equivalent polynomial expansion type.
- the specific sky-wave massive MIMO communication process is as follows:
- Synchronization Skywave communication base station broadcasts downlink synchronization signal, user terminal uses the received signal to establish and maintain synchronization with Skywave communication base station;
- Skywave communication user terminals send uplink sounding signals, and skywave communication base stations use the received sounding signals to estimate the channel state information of each user terminal;
- Skywave communication base station uses the obtained user channel information to implement user scheduling, and schedules several groups of user groups that communicate simultaneously on the same time-frequency resource within the coverage area;
- Uplink transmission The user terminals in the same user group send pilot signals and data signals to the SkyWave communication base station at the same time; the SkyWave communication base station uses the uplink sounding signal or pilot signal to estimate the uplink instantaneous channel information or statistical channel information.
- the square error criterion is either based on a polynomial expansion type or based on a deterministic equivalent polynomial expansion type to calculate the uplink reception processing vector of each user terminal, and implement uplink signal reception processing;
- Skywave communication base station uses the channel reciprocity of the TDD system to obtain the downlink channel, and calculates the downlink prediction of each user terminal in the user group based on the minimum mean square error criterion or the polynomial expansion type or the deterministic equivalent polynomial expansion type.
- the coding vector is used to send user pilot signals and data signals in the digital precoding domain; the user terminal uses the obtained downlink pilot signals to perform downlink channel estimation, demodulate and decode data signals, and recover the user signals sent by the base station.
- the sky-wave communication base station By adopting the beam domain statistical model of the sky-wave massive MIMO broadband communication channel according to the method of the invention, the sky-wave communication base station generates the beam domain statistical model of the sky-wave massive MIMO broadband communication channel; the sky-wave communication base station selects a set of spatial angle sampling grid points, Using the corresponding array direction vectors, the beam-domain statistical representation of the sub-carrier domain channel of sky-wave massive MIMO broadband communication OFDM transmission is formed; each array direction vector corresponds to a beam, and the number of array direction vectors or the number of beams is greater than or equal to The number of antennas in the array; the matrix formed by the array direction vector realizes the conversion between the antenna domain channel of sky-wave massive MIMO broadband communication and the beam domain channel of sky-wave massive MIMO broadband communication, which varies along different signal frequencies or subcarriers; The statistics or energy of a MIMO wideband communication beam-domain channel is the same across all signal frequencies or sub-carriers.
- the set of spatial angle sampling grid points are uniform sampling grid points of angle cosine.
- the array direction vector is determined by the sky wave communication base station according to the current signal frequency or subcarrier index number and the antenna spacing configuration.
- the statistic representation of the sky-wave massive MIMO broadband communication beam domain is specifically: using the matrix formed by the array direction vector, multiplied by a random vector whose elements are independent of each other, to characterize the sky-wave massive MIMO broadband communication antenna domain channel; the random vector is: Skywave Massive MIMO Wideband Communication Beam Domain Channel Vectors.
- the sky-wave massive MIMO communication system using the method of the present invention includes a base station and a large number of user terminals, and the sky-wave communication base station is configured with a large-scale antenna array in the short-wave band, which is used for user terminals in the same coverage area to perform large-scale antenna arrays through ionospheric reflection.
- MIMO communication Skywave communication base station determines the spacing of large-scale antenna arrays according to the highest operating frequency, and uses TDD to communicate with user terminals.
- Skywave massive MIMO signal transmission adopts OFDM or its improved power efficiency modulation method; Skywave communication base station uses real-time ionization to communicate with user terminals.
- the sky wave communication base station uses the statistical channel information of each user terminal to schedule users in the coverage area to form space division users group, use different time-frequency resources and different user groups to perform sky-wave massive MIMO signal transmission, and use the same time-frequency resource to perform sky-wave massive MIMO signal transmission with user terminals in the same user group.
- the sky wave communication base station side includes a frequency selection unit, a baseband processing unit, a radio frequency unit, and a large-scale antenna array; wherein, the baseband processing unit includes:
- Analog-to-digital conversion A/D and digital down-conversion module used in the sky-wave massive MIMO uplink transmission process; the A/D module realizes RF sampling on the short-wave full-band, and converts broadband analog signals into digital signals; digital down-conversion module The digital signal output by the A/D module is digitally down-converted to the baseband to obtain a digital baseband signal;
- Digital baseband processing and control module In the process of SkyWave massive MIMO uplink transmission, it is used to perform OFDM demodulation, perform joint reception processing on multi-user received signals, and restore the transmitted signals of each user terminal; during SkyWave massive MIMO downlink transmission , used to implement multi-user precoding transmission, generate the transmission signal of each user terminal, and perform OFDM modulation; the control module is used to implement space division user scheduling to form space division user groups and implement other control of the communication process;
- Digital up-conversion and digital-to-analog conversion D/A module used in the sky-wave massive MIMO downlink transmission process; the digital up-conversion module modulates the digital baseband signal to the radio frequency through digital processing; the D/A module generates the digital up-conversion module The digital transmission signal is converted into an analog signal;
- the frequency selection unit on the base station side of the sky wave communication performs frequency selection through passive monitoring and active detection.
- active detection process a dedicated channel detection signal is sent, and short-wave full-band signals are used to implement dynamic frequency selection and interference detection.
- the frequency with the least interference should be selected. point as the current working carrier frequency;
- the large-scale antenna array of the sky-wave communication base station is an antenna array composed of short-wave band antenna units, the spacing of the antenna units is a half wavelength corresponding to the highest operating frequency, and the array form is a linear array or other convenient layout forms.
- the user terminal side includes a baseband processing unit, a radio frequency unit, and an antenna, wherein the baseband processing unit includes:
- A/D and digital down-conversion module used in the downlink transmission process of Skywave Massive MIMO; the A/D module converts the received analog signal into a digital signal; the digital down-conversion module digitally converts the digital signal output by the A/D module Down-converted to baseband to obtain a digital baseband signal;
- Digital baseband processing and control module In the process of SkyWave massive MIMO downlink transmission, it is used to implement downlink channel estimation, perform OFDM demodulation, and recover the data signal sent by the base station; in the process of SkyWave massive MIMO uplink transmission, it is used to generate digital transmission signals , perform OFDM modulation;
- Digital up-conversion and D/A module used in the sky-wave massive MIMO uplink transmission process; the D/A module converts the digital signal into an analog signal; the digital up-conversion module digitally modulates the digital baseband signal to the radio frequency.
- the short-wave band range is generally 1.6MHz-30MHz.
- the sky wave TDD communication method uses the same frequency band for uplink and downlink transmission, and the time occupied by the uplink and downlink transmission in one frequency band can be adjusted as required.
- the sky-wave massive MIMO signal transmission adopts OFDM or its improved power efficiency modulation mode specifically: sky-wave massive MIMO downlink signal transmission adopts OFDM modulation mode, and sky-wave massive MIMO uplink signal transmission adopts OFDM modulation or its power efficiency improved mode. Including DFT spread OFDM.
- the statistical channel information of each user terminal is the statistical channel information of the OFDM subcarrier domain used by each user terminal.
- the sky-wave massive MIMO communication time-frequency resources are OFDM modulation symbols and OFDM-modulated subcarriers.
- the sky-wave massive MIMO signal transmission performed by the same time-frequency resource and user terminals in the same user group is as follows: each user terminal in the same user group sends and receives signals on the same time-frequency resource; the sky-wave communication base station uses the space division user group. The channel information of each user terminal is calculated, and the uplink receiver and downlink precoder of the user terminal are calculated to receive and transmit signals.
- the uplink receiver and the downlink precoder are calculated based on the minimum mean square error criterion or the polynomial expansion type or the deterministic equivalent polynomial expansion type; the uplink receiver includes a minimum mean square error receiver or a polynomial expansion. type receiver or low-complexity polynomial expansion type receiver; the downlink precoder includes a minimum mean square error precoder or a polynomial expansion type precoder or a low-complexity polynomial expansion type precoder.
- the sky-wave massive MIMO communication method and system proposed by the present invention can greatly improve the spectrum and power efficiency, transmission bandwidth and distance, speed and terminal capacity of the sky-wave communication system.
- Making full use of the characteristics of the sky wave channel implementing dynamic frequency selection and adaptively adjusting OFDM and its power efficiency improved parameters and signal frame structure can fully improve the system performance.
- Make full use of the large span of the array to establish a more accurate wideband channel model in which the direction vector is related to the signal frequency.
- An oversampling refined beam domain channel statistical model is established to make the statistical channel information more sufficient and accurate.
- Fig. 1 is a schematic diagram of sky-wave massive MIMO communication
- Fig. 2 is the flow chart of the sky wave massive MIMO communication method
- Fig. 3 is the beam domain statistical model diagram of sky wave massive MIMO broadband communication channel
- Figure 4 is a functional block diagram of the base station side of the SkyWave massive MIMO communication system
- Figure 5 is a functional block diagram of the user terminal side of the SkyWave massive MIMO communication system
- FIG. 6 is an uplink traversal and rate result diagram of a sky-wave massive MIMO communication system based on the transmission method of the MMSE receiver, the PE receiver, and the low-complexity PE receiver.
- FIG. 7 is a graph showing the downlink traversal and rate results of a sky-wave massive MIMO communication system based on the MMSE precoder, PE precoder, and low-complexity PE precoder transmission method.
- the technical solutions provided by the present invention will be described in detail below with reference to specific embodiments. It should be understood that the following specific embodiments are only used to illustrate the present invention and not to limit the scope of the present invention.
- the method of the invention is mainly applicable to the sky-wave massive MIMO (Multiple Input Multiple Output) communication system in which the base station is equipped with a massive antenna array to serve a large number of single-antenna user terminals at the same time.
- the specific implementation process of the present invention involving the Skywave Massive MIMO communication method and system will be described in detail below with reference to specific communication system examples. It should be noted that the present invention method is not only applicable to the specific system models given in the following examples, but also applicable to other Configured system model.
- the base station is configured with a large-scale antenna array in the short-wave band, and communicates with a large number of user terminals within its coverage through ionospheric reflection.
- the sky-wave massive MIMO communication method disclosed in the embodiment of the present invention includes: using a large-scale antenna array to construct a sky-wave communication base station in the short-wave band, and the sky-wave communication base station and user terminals in the coverage area perform ionospheric reflection.
- Skywave communication base station determines the spacing of large-scale antenna arrays according to the highest operating frequency, and uses TDD duplex mode to communicate with terminals.
- Skywave massive MIMO signal transmission adopts OFDM or its improved power efficiency modulation method
- Skywave communication base station According to the real-time ionospheric channel characteristics, the communication carrier frequency is selected in the short-wave band, and the OFDM modulation parameters and signal frame structure are adaptively selected
- the sky wave communication base station uses the statistical channel information of each user terminal to schedule users in the coverage area to form
- different user groups use different time-frequency resources to transmit sky-wave massive MIMO signals to the sky-wave communication base station, and user terminals in the same user group use the same time-frequency resources to transmit sky-wave massive MIMO signals to the sky-wave communication base station.
- the beam domain statistical model of the sky-wave massive MIMO broadband communication channel disclosed in the embodiment of the present invention includes: selecting a set of spatial angle sampling grid points, and using the corresponding array direction vectors to form sky-wave massive MIMO Beam domain statistical characterization of sub-carrier domain channels for broadband communication OFDM transmission; each array direction vector corresponds to a beam, and the number of array direction vectors or beams is greater than or equal to the number of antennas in the array; the matrix formed by the array direction vectors, Realize the conversion between sky-wave massive MIMO broadband communication antenna domain channel and sky-wave massive MIMO broadband communication beam domain channel, varying along different signal frequencies or sub-carriers; the statistics or energy of sky-wave massive MIMO broadband communication beam domain channel is The signal frequency or sub-carriers are the same.
- the base station side functional module diagram of the sky-wave massive MIMO communication system disclosed in the embodiment of the present invention includes a frequency selection unit, a baseband processing unit, a radio frequency unit, and a large-scale antenna array.
- the baseband processing unit includes:
- A/D and digital down-conversion module used for Skywave Massive MIMO uplink transmission process.
- the A/D module realizes radio frequency sampling on the short-wave full-band, and converts the broadband analog signal into a digital signal;
- the digital down-conversion module digitally down-converts the digital signal output by the A/D module to the baseband to obtain a digital baseband signal.
- Digital baseband processing and control module In the process of SkyWave massive MIMO uplink transmission, it is used to perform OFDM demodulation, perform joint reception processing on multi-user received signals, and restore the transmitted signals of each user terminal; during SkyWave massive MIMO downlink transmission , is used to implement multi-user precoding transmission, generate the transmission signal of each user terminal, and perform OFDM modulation; the control module is used to implement space division user scheduling to form space division user groups and implement other control of the communication process.
- Digital up-conversion and D/A module used for Skywave Massive MIMO downlink transmission process.
- the digital up-conversion module modulates the digital baseband signal to the radio frequency through digital processing; the D/A module converts the digital transmission signal generated by the digital up-conversion module into an analog signal.
- the frequency selection unit of the sky wave communication base station performs frequency selection through passive monitoring and active detection.
- the active detection process sends dedicated channel detection signals, uses full-band signals to implement dynamic frequency selection and interference detection, and selects a frequency with less interference as the current working carrier frequency.
- the large-scale antenna array of the sky-wave communication base station is an antenna array composed of short-wave band antenna units, the number of antenna units is tens or hundreds, the spacing of the antenna units is determined according to the highest operating frequency, and the array form can be a linear array or other convenient layout form.
- the user terminal side functional module diagram of the sky-wave massive MIMO communication system disclosed in the embodiment of the present invention, as shown in Figure 5, includes a baseband processing unit, a radio frequency unit, and an antenna; specifically, the baseband processing unit includes:
- A/D and digital down-conversion module used in the downlink transmission process of Skywave Massive MIMO; the A/D module converts the received analog signal into a digital signal; the digital down-conversion module digitally converts the digital signal output by the A/D module Down-converted to baseband to obtain a digital baseband signal;
- Digital baseband processing and control module In the process of SkyWave massive MIMO downlink transmission, it is used to implement downlink channel estimation, perform OFDM demodulation, and recover the data signal sent by the base station; in the process of SkyWave massive MIMO uplink transmission, it is used to generate digital transmission signals , perform OFDM modulation;
- Digital up-conversion and D/A module used in sky-wave massive MIMO uplink transmission process. Among them, the D/A module converts the digital signal into an analog signal; the digital up-conversion module modulates the digital baseband signal digitally to the radio frequency.
- the number of antennas M is generally tens to hundreds, and it serves U user terminals equipped with a single antenna.
- the selected system carrier frequency is f c , which needs to be determined by the frequency selection system of the sky wave communication base station, and changes with external factors such as seasons, day and night, and weather.
- Skywave communication base stations use TDD to communicate with user terminals, use the same frequency band for uplink and downlink transmission, and intermittently use different time periods for uplink transmission and downlink transmission, and the time occupied by uplink and downlink transmission in one frequency band can be adjusted according to needs.
- the sky-wave communication base station and user terminals in the coverage area perform sky-wave massive MIMO communication through ionospheric reflection.
- the ionosphere can be divided into D, E, and F layers.
- the E layer and the F layer mainly reflect the sky wave signal to meet the long-distance communication
- the D layer mainly absorbs the energy of the sky wave signal and causes the transmission signal attenuation.
- skywave signal transmission Similar to terrestrial cellular wireless channels, skywave signal transmission also undergoes a multipath propagation process. In particular, the transmitted signal reaches the receiving end through single or multiple reflections of the E layer and/or the F layer.
- An analog baseband complex signal is sent for the uplink of the user terminal u.
- the received analog baseband complex signal of the sky wave communication base station can be expressed as
- h u (t, ⁇ ) ⁇ M ⁇ 1 is the time-varying uplink channel impulse response from the user terminal u to the sky-wave communication base station
- z ul (t) is the noise vector
- its M elements each obey the complex white Gaussian process and have the same power spectral density.
- It is the analog baseband complex signal sent by the sky wave communication base station to the user terminal u. Then the analog baseband complex signal received by the user terminal u can be expressed as
- [h u (t, ⁇ )] T is the time-varying downlink channel impulse response from the SkyWave communication base station to the user terminal u, expressed as the uplink channel impulse response transposition of .
- the operator[] T represents the transpose operation, and the superscript T represents the transpose of a matrix or vector, is a complex white Gaussian noise process.
- the channel delay spread can reach the order of milliseconds.
- the movement of the ionosphere and the user terminal side will bring about the Doppler frequency shift of the channel.
- the characteristics of the sky wave communication channel are related to the day and night, season, weather, and the location of the sky wave communication base station and the user terminal.
- Typical ionospheric-induced Doppler spreads in the mid-latitude calm ionosphere, moderate ionosphere, and disturbed ionosphere environments are 0.1 Hz, 0.5 Hz, and 1 Hz, respectively.
- the modeling of Doppler spread caused by user terminal movement is similar to that of terrestrial cellular communications.
- the Doppler extension size is 1.48Hz.
- the coherence time of sky wave communication channel is determined by the channel Doppler spread, and in typical scenarios, it is much larger than the channel delay spread.
- OFDM modulation has been used in broadband sky-wave communications.
- Skywave massive MIMO signal transmission adopts OFDM or its improved power efficiency modulation, specifically: OFDM modulation for downlink signal transmission, OFDM modulation for uplink signal transmission, or its improved power efficiency, including DFT spread OFDM.
- OFDM modulation is considered for both uplink and downlink signal transmission of sky-wave massive MIMO, and the number of subcarriers is N c , the cyclic prefix (cyclic, CP) length is N g , and the system sampling interval is T s .
- Skywave massive MIMO communication time-frequency resources are OFDM modulation symbols and OFDM modulation subcarriers.
- N v sub-carriers are used to transmit data, the index of which is set
- the remaining N c -N v sub-carriers are set as virtual carriers, which are used as guard bands of the sky-wave communication system, and the signals on them are all set as 0.
- definition is the kth subcarrier of the user terminal u
- the transmitted signal on the symbol, then the user terminal u containing the CP is in the first
- the transmitted analog baseband complex signal over symbols can be expressed as
- the baseband demodulated signal on the kth subcarrier of symbols can be expressed as
- the downlink channel frequency response on the kth subcarrier of the symbols is complex Gaussian noise.
- the antenna domain channel of sky wave massive MIMO broadband communication is established.
- a generalized stationary uncorrelated scattering channel It is assumed that there are P u distinguishable paths between the user terminal u and the sky-wave communication base station.
- the transmission delay ⁇ u,p,m of the p-th path between the user terminal u and the m-th antenna of the sky-wave communication base station can be expressed as
- ⁇ u,p,m ⁇ u,p +(m-1) ⁇ u,p , (8)
- ⁇ d/c
- ⁇ u,p represents the transmission delay of the p-th path between the user terminal u and the first antenna of the sky-wave communication base station
- ⁇ u,p is the downlink departure angle or the uplink arrival angle of the p-th path of the user terminal u.
- the angular spread is caused by the scattering of the signal during reflection in the ionosphere and the ground, and the angle of multipath propagation is different.
- the azimuth arrival/departure angle can be different from the great circle direction between the skywave communication base station and the user, and the typical azimuth angle spread is 1°, but a larger angular spread may be observed in a disturbed ionospheric environment.
- the pitch arrival/departure angle is determined by the great circle distance and the ionospheric pattern. In long-distance sky wave transmission, the observed elevation angle spread is relatively small.
- the time-varying channel impulse response between the user terminal u and the mth antenna of the skywave communication base station can be expressed as
- ⁇ u,p (t) is a pure imaginary number
- ⁇ u,p (t) represents a complex gain random process. Since both the Earth's surface and the reflected ionosphere are rough, it can be assumed that the p-th path contains Q p indistinguishable sub-paths with the same delay and arrival/departure angle. Then ⁇ u,p (t) can be expressed as
- ⁇ u,p,q , ⁇ u,p,q , and ⁇ u,p,q represent the gain, initial phase, and Doppler frequency shift of the qth subpath, respectively.
- ⁇ u, p, q are random variables uniformly distributed on the interval [0, 2 ⁇ ).
- Q p tends to infinity
- ⁇ u,p (t) obeys a complex Gaussian random process with zero mean and experiences Rayleigh fading.
- the impulse response vector of the uplink channel from the user terminal u to the skywave communication base station is:
- * is the convolution symbol
- g( ⁇ , ⁇ ) [g 1 ( ⁇ , ⁇ ),...,g M ( ⁇ , ⁇ )] T , (13)
- the frequency response vector of the uplink channel in the sky-wave massive MIMO broadband communication antenna domain can be expressed as
- the sky wave communication base station selects a set of spatial angle sampling grid points, which are uniform sampling grid points of angle cosine ⁇ . make Indicates the number of sampled array direction vectors.
- the set of all possible angle cosines is expressed as in And ⁇ represents the union of sets.
- Definition ⁇ represents the intersection of sets, then can be rewritten as
- angle cosine in can be approximated as but can be approximated as
- array direction vector representing samples, varying along different signal frequencies or subcarriers.
- the array direction vector It is determined by the sky wave communication base station according to the current signal frequency or subcarrier index number and the antenna spacing configuration.
- the above channel approximation gives a channel representation based on the beam domain, since the sampled array direction vectors correspond to physical spatial beams and each array direction vector corresponds to a beam. can It is considered to be a beam-domain channel element of sky-wave massive MIMO broadband communication and varies along different signal frequencies or sub-carriers k.
- the subscript represents the first elements
- represents the modulo operation. It can be seen that the statistics or energy of the sky-wave massive MIMO wideband communication beam-domain channel is the same on all signal frequencies or sub-carriers. can be abbreviated Indicates statistical channel information.
- ⁇ u,k denote the antenna domain channel correlation matrix of sky-wave massive MIMO broadband communication where the superscript H represents the conjugate transpose of the matrix or vector, which can be calculated
- tr( ⁇ ) represents the trace of the matrix
- F represents the Frobenius norm of the matrix.
- the received signal vector expression of Sky-Wave communication base station on the k-th subcarrier is as follows:
- H k [h 1,k ,...h U,k ] ⁇ M ⁇ U represents the sky-wave massive MIMO uplink channel matrix on the kth subcarrier, Its covariance matrix satisfies is the transmitted signal of user terminal u, q ul is the average transmit power of each user terminal, is a complex Gaussian noise vector.
- the linear receiver is represented by R k ⁇ ⁇ U ⁇ M , and the mean square error of the receiver is defined as
- the downlink received signal vector of U user terminals on the kth subcarrier can be expressed as
- P k is the precoding matrix and satisfies the power constraint Its covariance matrix satisfies is the signal sent to user terminal u, q dl is the average transmit power of each user terminal, is a complex Gaussian noise vector.
- the mean square error of precoding is defined as
- the uplink receiver based on the polynomial expansion can be expressed as
- N ⁇ U represents the order of the receiver, are the coefficients of the polynomial expansion of the upstream receiver. Further define the coefficient vector as and make can get
- the subscripts i, j represent the elements of the i-th row and the j-th column of the matrix. Similarly, define
- This embodiment uses the large-dimensional random matrix theory to calculate certainty is equivalent.
- the number of antennas of the base station for day-wave massive MIMO communication tends to be infinite, it can be obtained
- the MMSE receiver/precoder, PE receiver/precoder, and low-complexity PE receiver/precoder in this embodiment under a specific system configuration are given below. Under precoder, uplink/downlink traversal and rate results.
- Set the number of antennas of Skywave communication base station M 256, the number of sampling beams
- the number of user terminals U 96.
- FIG. 6 shows the comparison of uplink traversal and rate results of the MMSE receiver, PE receiver, and low-complexity PE receiver under different total transmit powers in the present embodiment of the considered sky-wave massive MIMO communication system.
- Figure 7 shows the comparison of downlink traversal and rate results of the MMSE precoder, PE precoder, and low-complexity PE precoder under different total transmit powers in the present embodiment of the considered sky-wave massive MIMO communication system. It can be seen from Figure 6 and Figure 7 that the system uplink and downlink traversal and rate results increase with the increase of the total transmission power. Compared with the sky-wave communication system in the traditional short-wave frequency band, the sky-wave massive MIMO communication in this embodiment can greatly improve the system and rate.
Landscapes
- Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Physics & Mathematics (AREA)
- Electromagnetism (AREA)
- Quality & Reliability (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Mobile Radio Communication Systems (AREA)
- Radio Transmission System (AREA)
Abstract
Description
Claims (26)
- 一种天波大规模MIMO通信方法,其特征在于,包括:利用大规模天线阵列,构建短波波段的天波通信基站,天波通信基站与覆盖区内的用户终端通过电离层反射进行天波大规模多输入多输出MIMO通信;天波通信基站依据最高工作频率确定大规模天线阵列的间距,采用时分双工TDD通信方式与用户终端进行通信,天波大规模MIMO信号传输采用正交频分复用OFDM或其功率效率改进型调制方式;天波通信基站根据实时电离层信道特性,在短波波段范围内选定通信载频,并自适应选取OFDM调制参数及信号帧结构;天波通信基站利用各用户终端的统计信道信息对覆盖区域内用户进行调度,形成空分用户组,不同用户组使用不同通信时频资源与天波通信基站进行天波大规模MIMO信号传输,同一用户组内用户终端使用同一时频资源与天波通信基站进行天波大规模MIMO信号传输。
- 根据权利要求1所述的天波大规模MIMO通信方法,其特征在于,所述天波通信基站大规模天线阵列为短波波段的天线组成的线型阵列。
- 根据权利要求2所述的天波大规模MIMO通信方法,其特征在于,所述天波通信基站大规模天线阵列的间距为最高工作频率或接近最高工作频率对应的半波长。
- 根据权利要求1所述的天波大规模MIMO通信方法,其特征在于,所述短波波段范围为1.6MHz-30MHz。
- 根据权利要求1所述的天波大规模MIMO通信方法,其特征在于,所述通信载频通过天波通信基站选频***确定,随季节、昼夜、天气等外部因素变化,天波通信基站通过无源监测和主动探测实现选频功能;在主动探测过程中,天波通信基站发送专用信道探测信号,利用接收到的短波全波段信号实施动态选频和干扰侦测,一般应选取干扰较小频点作为当前工作载频。
- 根据权利要求1所述的天波大规模MIMO通信方法,其特征在于,所述天波TDD通信方式使用相同的频带进行上下行传输,在一个频带内上下行传输占用的时间根据需要进行调节。
- 根据权利要求1所述的天波大规模MIMO通信方法,其特征在于,所述天波大规模MIMO信号传输采用OFDM或其功率效率改进型调制方式,具体为:天波大规模MIMO下行信号传输采用OFDM调制方式,天波大规模MIMO上行信号传输采用OFDM调制或其功率效率改进型。
- 根据权利要求1所述的天波大规模MIMO通信方法,其特征在于,所述天波大规模MIMO,用户调度所需用户统计信道信息为各用户终端使用的OFDM子载波域的统计信道信息。
- 根据权利要求1所述的天波大规模MIMO通信方法,其特征在于,所述天波大规模MIMO通信时频资源为OFDM调制符号与OFDM调制的子载波。
- 根据权利要求1所述的天波大规模MIMO通信方法,其特征在于,所述同一时频资源与天波通信基站进行天波大规模MIMO信号传输具体为:同一用户组内的各用户终端,在同一时频资 源上发送和接收信号;天波通信基站利用空分用户组内各用户终端的信道信息,计算用户终端的上行接收机和下行预编码器,进行信号的接收和发送处理。
- 根据权利要求10所述的天波大规模MIMO通信方法,其特征在于,所述上行接收机和下行预编码器为基于最小化均方误差准则或者基于多项式展开型或者基于确定性等同的多项式展开型计算得到。
- 根据权利要求1所述的天波大规模MIMO通信方法,其特征在于,所述具体天波大规模MIMO通信过程如下:a.同步:天波通信基站广播下行同步信号,用户终端利用接收信号建立并保持与天波通信基站的同步;b.信道探测:天波通信用户终端发送上行探测信号,天波通信基站利用接收到的探测信号估计每个用户终端的信道状态信息;c.空分成组:天波通信基站利用所获得的用户信道信息,实施用户调度,在覆盖区域内调度出若干组在同一时频资源上同时通信的用户组;d.上行传输:同一用户组内用户终端,同时向天波通信基站发送导频信号和数据信号;天波通信基站利用上行探测信号或导频信号估计上行瞬时信道信息或统计信道信息,基于最小化均方误差准则或者基于多项式展开型或者基于确定性等同的多项式展开型计算各用户终端的上行接收处理矢量,并实施上行信号接收处理;e.下行传输:天波通信基站利用TDD***的信道互易性获得下行信道,基于最小化均方误差准则或者基于多项式展开型或者基于确定性等同的多项式展开型计算用户组内各用户终端下行预编码矢量,在数字预编码域上发送用户导频信号和数据信号;用户终端利用所获得的下行导频信号实施下行信道估计,进行数据信号解调、解码等操作,恢复基站发送的用户信号。
- 一种如权利要求1所述方法的天波大规模MIMO宽带通信信道的波束域统计模型,其特征在于,天波通信基站生成天波大规模MIMO宽带通信信道的波束域统计模型;天波通信基站选定一组空间角度采样格点,利用所对应的阵列方向矢量,形成天波大规模MIMO宽带通信OFDM传输子载波域信道的波束域统计表征;每个阵列方向矢量对应一个波束,阵列方向矢量的个数或波束个数为大于或等于阵列中天线个数;阵列方向矢量构成的矩阵,实现天波大规模MIMO宽带通信天线域信道与天波大规模MIMO宽带通信波束域信道之间的转换,沿不同信号频率或子载波变化;天波大规模MIMO宽带通信波束域信道的统计信息或能量在所有信号频率或子载波上相同。
- 根据权利要求13所述的天波大规模MIMO宽带通信信道的波束域统计模型,其特征在于,所述一组空间角度采样格点为角度余弦的均匀采样格点。
- 根据权利要求13所述的天波大规模MIMO宽带通信信道的波束域统计模型,其特征在于, 所述阵列方向矢量由天波通信基站根据当前信号频率或子载波索引号以及天线间距配置确定。
- 根据权利要求13所述的天波大规模MIMO宽带通信信道的波束域统计模型,其特征在于,所述天波大规模MIMO宽带通信波束域统计表征具体为:利用阵列方向矢量构成的矩阵,乘以一各元素相互独立的随机矢量,表征天波大规模MIMO宽带通信天线域信道;所述随机矢量为天波大规模MIMO宽带通信波束域信道矢量。
- 一种如权利要求1所述方法的天波大规模MIMO通信***,包括基站和大量用户终端,其特征在于,所述天波通信基站配置短波波段大规模天线阵列,用于同覆盖区内的用户终端通过电离层反射进行大规模MIMO通信;天波通信基站依据最高工作频率确定大规模天线阵列的间距,采用TDD方式与用户终端进行通信,天波大规模MIMO信号传输采用OFDM或其功率效率改进型调制方式;天波通信基站根据实时电离层信道特性,在短波波段范围内选定通信载频,并自适应选取OFDM调制参数及信号帧结构;天波通信基站利用各用户终端的统计信道信息对覆盖区域内用户进行调度,形成空分用户组,使用不同时频资源与不同用户组进行天波大规模MIMO信号传输,使用同一时频资源与同一用户组内用户终端进行天波大规模MIMO信号传输。
- 根据权利要求17所述的天波大规模MIMO通信***,其特征在于:所述天波通信基站侧包括选频单元、基带处理单元、射频单元、大规模天线阵列;其中,基带处理单元包括:模数转换A/D和数字下变频模块:用于天波大规模MIMO上行传输过程;其中,A/D模块实现短波全波段上的射频采样,将宽带模拟信号转换成数字信号;数字下变频模块对A/D模块输出的数字信号通过数字方式下变频到基带,得到数字基带信号;数字基带处理与控制模块:天波大规模MIMO上行传输过程中,用于进行OFDM解调,对多用户接收信号进行联合接收处理,恢复每个用户终端的发送信号;天波大规模MIMO下行传输过程中,用于实施多用户预编码传输,生成每个用户终端的发送信号,并进行OFDM调制;控制模块用于实施空分用户调度,以形成空分用户组并实施通信过程的其它控制;数字上变频和数模转换D/A模块:用于天波大规模MIMO下行传输过程;其中,数字上变频模块对数字基带信号通过数字处理方式调制到射频;D/A模块将数字上变频模块生成的数字发送信号转换成模拟信号;所述天波通信基站侧的选频单元通过无源监测和主动探测进行选频,主动探测过程发送专用信道探测信号,利用短波全波段信号实施动态选频和干扰侦测,一般应选取干扰最小频点作为当前工作载频;所述天波通信基站大规模天线阵列为短波波段天线单元构成的天线阵列,所述天线单元的间距为最高工作频率对应的半波长,阵列形态为线性阵列或其它方便布设的形态。
- 根据权利要求17所述的天波大规模MIMO通信***,其特征在于:所述用户终端侧包含 基带处理单元、射频单元、天线,其中,所述基带处理单元包括:A/D和数字下变频模块:用于天波大规模MIMO下行传输过程;其中,A/D模块将接收模拟信号转换成数字信号;数字下变频模块对A/D模块输出的数字信号通过数字方式下变频到基带,得到数字基带信号;数字基带处理和控制模块:天波大规模MIMO下行传输过程中,用于实施下行信道估计,进行OFDM解调,恢复基站发送的数据信号;天波大规模MIMO上行传输过程中,用于生成数字发送信号,进行OFDM调制;数字上变频和D/A模块:用于天波大规模MIMO上行传输过程;其中,D/A模块将数字信号转换成模拟信号;数字上变频模块对数字基带信号通过数字方式调制到射频。
- 根据权利要求17所述的天波大规模MIMO通信***,其特征在于:所述短波波段范围一般为1.6MHz-30MHz。
- 根据权利要求17所述的天波大规模MIMO通信***,其特征在于:所述天波TDD通信方式使用相同的频带进行上下行传输,在一个频带内上下行传输占用的时间可根据需要进行调节。
- 根据权利要求17所述的天波大规模MIMO通信***,其特征在于:所述天波大规模MIMO信号传输采用OFDM或其功率效率改进型调制方式具体为:天波大规模MIMO下行信号传输采用OFDM调制方式,天波大规模MIMO上行信号传输采用OFDM调制或者其功率效率改进型。
- 根据权利要求17所述的天波大规模MIMO通信***,其特征在于:所述各用户终端的统计信道信息为各用户终端使用的OFDM子载波域的统计信道信息。
- 根据权利要求17所述的天波大规模MIMO通信***,其特征在于:所述的天波大规模MIMO通信时频资源为OFDM调制符号与OFDM调制的子载波。
- 根据权利要求17所述的天波大规模MIMO通信***,其特征在于:所述同一时频资源与同一用户组内用户终端进行天波大规模MIMO信号传输为:同一用户组内的各用户终端,在同一时频资源上发送和接收信号;天波通信基站利用空分用户组内各用户终端的信道信息,计算用户终端的上行接收机和下行预编码器,进行信号的接收和发送处理。
- 根据权利要求25所述的天波大规模MIMO通信***,其特征在于:所述上行接收机和下行预编码器为基于最小化均方误差准则或者基于多项式展开型或者基于确定性等同的多项式展开型计算得到;所述上行接收机包括最小均方误差接收机或者多项式展开型接收机或者低复杂度多项式展开型接收机;所述下行预编码器包括最小均方误差预编码器或者多项式展开型预编码器或者低复杂度多项式展开型预编码器。
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US17/597,778 US11658711B2 (en) | 2020-11-19 | 2020-12-21 | Skywave large-scale MIMO communication method, model, and system |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011300870.2 | 2020-11-19 | ||
CN202011300870.2A CN112511201B (zh) | 2020-11-19 | 2020-11-19 | 天波大规模mimo通信方法及模型和*** |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2022104993A1 true WO2022104993A1 (zh) | 2022-05-27 |
Family
ID=74958704
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/CN2020/137876 WO2022104993A1 (zh) | 2020-11-19 | 2020-12-21 | 天波大规模mimo通信方法、模型及*** |
Country Status (3)
Country | Link |
---|---|
US (1) | US11658711B2 (zh) |
CN (1) | CN112511201B (zh) |
WO (1) | WO2022104993A1 (zh) |
Families Citing this family (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113242065B (zh) * | 2021-05-20 | 2022-07-19 | 东南大学 | 一种利用位置信息的天波大规模mimo上行同步方法 |
CN113746534B (zh) * | 2021-09-22 | 2022-04-19 | 东南大学 | 一种卫星大规模mimo通信感知一体化的发送方法 |
CN114866117A (zh) * | 2022-03-29 | 2022-08-05 | 东南大学 | 天波大规模mimo波束结构预编码传输方法与*** |
CN115065432A (zh) * | 2022-04-02 | 2022-09-16 | 东南大学 | 天波大规模mimo三重波束基信道建模及信道信息获取 |
CN114978264B (zh) * | 2022-06-29 | 2023-07-25 | 内蒙古大学 | 基于太赫兹mimo***的混合预编码方法 |
CN117879736B (zh) * | 2024-03-13 | 2024-05-17 | 中国人民解放军海军工程大学 | 一种基于矢量天线的短波环境噪声或干扰测量方法及装置 |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103117975A (zh) * | 2007-08-20 | 2013-05-22 | 瑞登有限责任公司 | 补偿mu-mas通信及动态适应mu-mas通信***的通信特性的*** |
CN104270190A (zh) * | 2014-10-20 | 2015-01-07 | 国家卫星气象中心 | 基于电离层资料的同步自适应短波通信选频方法 |
CN104981985A (zh) * | 2012-11-30 | 2015-10-14 | 科诺索斯公司 | 用于分布式无线电通信网络的方法和*** |
WO2019070857A2 (en) * | 2017-10-04 | 2019-04-11 | Skywave Networks Llc | ADJUSTING TRANSMISSIONS BASED ON DIRECT DETECTION OF THE IONOSPHERE |
CN110518961A (zh) * | 2019-08-29 | 2019-11-29 | 东南大学 | 大规模mimo卫星移动通信方法及*** |
CN111193533A (zh) * | 2019-12-05 | 2020-05-22 | 东南大学 | 大规模mimo波束域鲁棒预编码传输方法与*** |
Family Cites Families (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101588330B (zh) * | 2009-07-10 | 2013-01-09 | 南京航空航天大学 | 一种用于短波ofdm通信***的联合信道估计方法 |
WO2013173809A1 (en) * | 2012-05-18 | 2013-11-21 | Rearden, Llc | Systems and methods to enhance spatial diversity in distributed input distributed output wireless systems |
CN104378319A (zh) * | 2014-11-21 | 2015-02-25 | 河海大学 | 一种基于短波信道mimo-ofdm通信***的信道估计方法 |
US20160197669A1 (en) * | 2014-12-11 | 2016-07-07 | Tesla Wireless Company LLC | Communication method and system that uses low latency/low data bandwidth and high latency/high data bandwidth pathways |
EP3692650A4 (en) * | 2017-10-02 | 2021-06-23 | Skywave Networks LLC | OPTIMIZING THE LOCATION OF AN ANTENNA SYSTEM IN A LOW LATENCY / LOW DATA BANDWIDTH CONNECTION TOGETHER WITH A HIGH LATENCY / HIGH BANDWIDTH CONNECTION |
CN210040565U (zh) * | 2019-07-16 | 2020-02-07 | 深圳市威富通讯技术有限公司 | 高增益短波智能天线设备 |
-
2020
- 2020-11-19 CN CN202011300870.2A patent/CN112511201B/zh active Active
- 2020-12-21 WO PCT/CN2020/137876 patent/WO2022104993A1/zh active Application Filing
- 2020-12-21 US US17/597,778 patent/US11658711B2/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103117975A (zh) * | 2007-08-20 | 2013-05-22 | 瑞登有限责任公司 | 补偿mu-mas通信及动态适应mu-mas通信***的通信特性的*** |
CN104981985A (zh) * | 2012-11-30 | 2015-10-14 | 科诺索斯公司 | 用于分布式无线电通信网络的方法和*** |
CN104270190A (zh) * | 2014-10-20 | 2015-01-07 | 国家卫星气象中心 | 基于电离层资料的同步自适应短波通信选频方法 |
WO2019070857A2 (en) * | 2017-10-04 | 2019-04-11 | Skywave Networks Llc | ADJUSTING TRANSMISSIONS BASED ON DIRECT DETECTION OF THE IONOSPHERE |
CN110518961A (zh) * | 2019-08-29 | 2019-11-29 | 东南大学 | 大规模mimo卫星移动通信方法及*** |
CN111193533A (zh) * | 2019-12-05 | 2020-05-22 | 东南大学 | 大规模mimo波束域鲁棒预编码传输方法与*** |
Also Published As
Publication number | Publication date |
---|---|
CN112511201B (zh) | 2021-10-26 |
US20220376750A1 (en) | 2022-11-24 |
US11658711B2 (en) | 2023-05-23 |
CN112511201A (zh) | 2021-03-16 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
WO2022104993A1 (zh) | 天波大规模mimo通信方法、模型及*** | |
Lin et al. | A new view of multi-user hybrid massive MIMO: Non-orthogonal angle division multiple access | |
CN111106859B (zh) | 毫米波/太赫兹网络大规模mimo无线传输方法 | |
Li et al. | A novel ISAC transmission framework based on spatially-spread orthogonal time frequency space modulation | |
Xie et al. | Channel estimation for TDD/FDD massive MIMO systems with channel covariance computing | |
CN110830097B (zh) | 一种基于反射面的主被动互惠共生传输通信*** | |
CN110518961B (zh) | 大规模mimo卫星移动通信方法及*** | |
Zhou et al. | Active terminal identification, channel estimation, and signal detection for grant-free NOMA-OTFS in LEO satellite Internet-of-Things | |
US8315323B2 (en) | Successive transmit beamforming methods for multiple-antenna orthogonal frequency division multiplexing (OFDM) systems | |
CN102685876A (zh) | 基于子带预编码的多点协作ofdm***中时延差补偿方法 | |
Venugopal et al. | Optimal frequency-flat precoding for frequency-selective millimeter wave channels | |
Suyama et al. | Evaluation of 30 Gbps super high bit rate mobile communications using channel data in 11 GHz band 24× 24 MIMO experiment | |
KR20170022938A (ko) | 송신 다이버시티를 위한 방법 및 장치 | |
Cheng et al. | Hybrid beamforming for wideband OFDM dual function radar communications | |
CN115065432A (zh) | 天波大规模mimo三重波束基信道建模及信道信息获取 | |
Qiao et al. | Sensing user’s activity, channel, and location with near-field extra-large-scale MIMO | |
Ullah et al. | Spectral efficiency of multiuser massive mimo-ofdm thz wireless systems with hybrid beamforming under inter-carrier interference | |
Yin et al. | Diagonally reconstructed channel estimation for MIMO-AFDM with inter-doppler interference in doubly selective channels | |
Shhab et al. | Suppressing the Effect of Impulsive Noise on Millimeter-Wave Communications Systems. | |
López-Lanuza et al. | Deep Learning-Based Optimization for Reconfigurable Intelligent Surface-Assisted Communications | |
Gupta et al. | An Affine Precoded Superimposed Pilot-Based mmWave MIMO-OFDM ISAC System | |
CN102487368B (zh) | Per-tone均衡器的设计方法及实现装置 | |
Sharma et al. | Recent developments in MIMO channel estimation techniques | |
Fedosov et al. | Theoretical analysis of adaptive algorithm modulation scheme in 3D OFDM WiMAX system | |
Fedosov et al. | Transmitting Image in 3D Wireless Channel using Adaptive Algorithm Processing with MMSE based on MIMO principles |
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: 20962284 Country of ref document: EP Kind code of ref document: A1 |
|
NENP | Non-entry into the national phase |
Ref country code: DE |
|
122 | Ep: pct application non-entry in european phase |
Ref document number: 20962284 Country of ref document: EP Kind code of ref document: A1 |
|
122 | Ep: pct application non-entry in european phase |
Ref document number: 20962284 Country of ref document: EP Kind code of ref document: A1 |
|
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 1205 DATED 16/01/2024) |