WO2022031295A1 - Mises à jour de matrice de covariance - Google Patents

Mises à jour de matrice de covariance Download PDF

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Publication number
WO2022031295A1
WO2022031295A1 PCT/US2020/045401 US2020045401W WO2022031295A1 WO 2022031295 A1 WO2022031295 A1 WO 2022031295A1 US 2020045401 W US2020045401 W US 2020045401W WO 2022031295 A1 WO2022031295 A1 WO 2022031295A1
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WO
WIPO (PCT)
Prior art keywords
covariance matrix
base station
user equipment
central host
sending
Prior art date
Application number
PCT/US2020/045401
Other languages
English (en)
Inventor
Veronique Capdevielle
Cinzia Sartori
Malgorzata Tomala
Anatoly ANDRIANOV
Suresh Kalyanasundaram
Afef Feki
Claudiu Mihailescu
Fahad SYED MUHAMMAD
Original Assignee
Nokia Technologies Oy
Nokia Of America Corporation
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nokia Technologies Oy, Nokia Of America Corporation filed Critical Nokia Technologies Oy
Priority to PCT/US2020/045401 priority Critical patent/WO2022031295A1/fr
Publication of WO2022031295A1 publication Critical patent/WO2022031295A1/fr

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/02—Traffic management, e.g. flow control or congestion control
    • H04W28/0226—Traffic management, e.g. flow control or congestion control based on location or mobility
    • 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
    • H04B7/02—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
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0636—Feedback format
    • H04B7/0643—Feedback on request
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/02—Traffic management, e.g. flow control or congestion control
    • H04W28/0247—Traffic management, e.g. flow control or congestion control based on conditions of the access network or the infrastructure network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/16—Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]

Definitions

  • This description relates to wireless networking.
  • UEs user equipments
  • the base station can communicate with other entities within the cellular communication network.
  • a method performed by a base station can include receiving, from a central host, a covariance matrix update request, in response to receiving the covariance matrix update request, generating a covariance matrix based on signals received from a user equipment, and sending the covariance matrix to the central host.
  • a method performed by a central host can include determining that traffic quality within a cell served by a base station is unsatisfactory, based on determining that traffic quality within the cell served by the base station is unsatisfactory, sending a covariance matrix update request to the base station, and receiving, from the base station, a covariance matrix.
  • a non-transitory computer-readable storage medium can include instructions stored thereon. When executed by at least one processor, the instructions can be configured to cause a base station to receive, from a central host, a covariance matrix update request, in response to receiving the covariance matrix update request, generate a covariance matrix based on signals received from a user equipment, and send the covariance matrix to the central host.
  • a non-transitory computer-readable storage medium can include instructions stored thereon. When executed by at least one processor, the instructions can be configured to cause a central host to determine that traffic quality within a cell served by a base station is unsatisfactory, based on determining that traffic quality within the cell served by the base station is unsatisfactory, send a covariance matrix update request to the base station, and receive, from the base station, a covariance matrix.
  • a base station can include at least one processor, and a non-transitory computer-readable storage medium including instructions stored thereon. When executed by at least one processor, the instructions can be configured to cause the base station to receive, from a central host, a covariance matrix update request, in response to receiving the covariance matrix update request, generate a covariance matrix based on signals received from a user equipment, and send the covariance matrix to the central host.
  • a central host can include at least one processor, and a non-transitory computer-readable storage medium including instructions stored thereon. When executed by at least one processor, the instructions can be configured to cause the central host to determine that traffic quality within a cell served by a base station is unsatisfactory, based on determining that traffic quality within the cell served by the base station is unsatisfactory, send a covariance matrix update request to the base station, and receive, from the base station, a covariance matrix.
  • FIG. 1 shows a cellular communication network according to an example implementation.
  • FIG. 2 is a timing diagram showing messages exchanged between, and actions performed by, entities in the cellular communication network according to an example implementation.
  • FIG. 3 is a flowchart showing actions performed by a central host to generate a configuration according to an example implementation.
  • FIG. 4 is a flowchart showing a method performed by the central host according to an example implementation.
  • FIG. 5 is a flowchart showing a method performed by a base station according to an example implementation.
  • FIG. 6 is a flowchart showing a method performed by the central host according to an example implementation.
  • FIG. 7 is a diagram of a wireless station according to an example implementation.
  • Massive multiple-input multiple-output which groups together antennas at the transmitter and receiver to provide better throughput and better spectrum efficiency, can improve the performance of cellular networks, such as fifth generation (5G) cellular networks, such as Third Generation Partnership Project (3GPP) New Radio (NR) networks.
  • 5G fifth generation
  • 3GPP Third Generation Partnership Project
  • NR New Radio
  • MIMO also known as spatial multiplexing, uses multiple antennas at the base station to send and receive data over multiple paths in the same radio channel.
  • individual antennas are grouped together in an antenna array that facilitates signal beamforming. The extra antennas can improve throughput and radiated energy efficiency by focusing energy into smaller regions of space.
  • Massive MIMO with beamforming can increase the number of users served per cell, and/or increase spectral efficiency.
  • the beams in a beamforming scheme can be adjusted based on covariance matrices to maximize outcomes, such as user performance including throughput.
  • Base stations can generate a covariance matrix for each user equipment served by the respective base station.
  • the covariance matrices can enable spatial traffic maps that indicate locations of user equipments within the cell served by the base station.
  • the base station and/or other entities in the cellular communication network can perform load balancing and/or beam pattern optimization based on the spatial traffic maps.
  • Multiple base stations can generate covariance matrices based on user equipments served by the respective base stations, and send their covariance matrices to a central host.
  • the central host can determine how traffic, wireless communication signals, and/or locations of user equipments, are spread through cells served by the base stations in a given time interval.
  • the central host can generate and/or estimate one or more traffic maps based on the covariance matrices and/or the determined spread of traffic.
  • the central host can select a beam pattem(s) that best matches the traffic distribution in the cell(s) based on the traffic map and/or covariance matrices.
  • the selected beam pattern(s) can optimize coverage and capacity of user equipments within the respective cell(s) served by the base station(s).
  • the central host can perform load balancing based on the traffic map and/or covariance matrices, such as by instructing a base station to handoff a user equipment served by the base station to a neighboring base station.
  • FIG. 1 shows a cellular communication network 100 according to an example implementation.
  • the cellular communication network 100 can include a central host 102.
  • the central host 102 can generate communications schedules and/or beamforming arrays for one or more base stations 106A, 106B based on covariance matrices received from the one or more base stations 106A, 106B.
  • the central host 102 can be in communication with the one or more base stations 106A, 106B via one or more wired or wireless communications channels.
  • the central host 102 can be in communication with a trace collector entity 104 via one or more wired or wireless communication channels.
  • the cellular communication network 100 can include the trace collector entity 104.
  • the trace collector entity 104 can include a file server.
  • the Trace Collector Entity 104 can include a data collector entity such as a 3GPP TCE.
  • the base stations 106A, 106B can send their respective covariance matrices to the trace collector entity 104, and/or the trace collector entity 104 can receive covariance matrices from the base stations 106A, 106B.
  • the trace collector entity 104 can generate a file that includes the covariance matrices received from the base stations 106A, 106B within a specified time period. The trace collector entity 104 can send the generated file and/or received covariance matrices to the central host 102.
  • the cellular communication network 100 can include multiple base stations 106A, 106B.
  • the base stations 106A, 106B can include, for example, Fifth Generation base stations (gNB).
  • the base stations 106A, 106B can serve user equipments 108A, 108B, 108C within cells 107A, 107B.
  • the user equipments 108A, 108B, 108C can include cellular telephones, mobile devices, smartphones, tablets, or laptop computers, as non-limiting examples.
  • the cells 107A, 107B can form a radio access network 110 within which users can wirelessly receive and/or send data from and/or two base stations 106A, 106B. While two base stations 106A, 106B serving two cells 107A, 107B are shown in FIG.
  • the radio access network 110 can include many more than two base stations and cells. While three user equipments 108A, 108B, 108C are shown in the cell 107A of FIG. 1, the base station 106A can serve many more than three user equipments within the cell 107A.
  • FIG. 2 is a timing diagram showing messages exchanged between, and actions performed by, entities in the cellular communication network 100 according to an example implementation.
  • the central host 102 can determine that an update is required (204) and/or would be beneficial.
  • the update can be changes to beamforming by the MIMO base station(s).
  • the central host 102 can determine that the update is required and/or would be beneficial based, for example, on determining that traffic quality within a cell, such as the cell 107A served by the base station 106A, is unsatisfactory and/or is not satisfactory. In some examples, the central host 102 can determine that the traffic quality is unsatisfactory and/or not satisfactory based on the traffic quality not meeting a quality threshold.
  • the traffic quality can be based on coverage, which can include signal strengths of data signals sent to or from user equipments, accessibility, which can include a proportion of calls from and to user equipments between cellular networks that were successfully connected, and/or audio quality, which can include clarity of the communication channels between base stations and user equipments.
  • the central host 102 can determine that the update is required (204) and/or would be beneficial periodically, such as after each predetermined time interval.
  • the central host 102 can send an update request to the base station 106 (base station 106 can refer generically to any of the base stations 106A, 106B).
  • base station 106 can refer generically to any of the base stations 106A, 106B.
  • the central host 102 can send the update request to the base station 106 via a radio access network (RAN) Intelligent Controller (RIC) 202, core network (CN), and/or an operations, administration and maintenance (0AM) system.
  • RAN radio access network
  • RIC Radio access network Intelligent Controller
  • CN core network
  • an operations, administration and maintenance (0AM) system a covariance matrix update request 206 to the RIC 202.
  • the covariance matrix update request 206 can be considered a trace configuration message.
  • the RIC 202 can respond to receiving the covariance matrix update request 206 from the central host 102 by activating (208) a process, such as a minimization of drive tests (MDT) process.
  • the MDT process can include triggering and/or requesting MDT reports from user equipments.
  • the user equipments can include a covariance matrix in an MDT report that the user equipment sends to the base station 106 that serves the respective user equipment 108 (user equipment 108 can refer generically to any of the user equipments 108A, 108B, 108C).
  • the RIC 202 can respond to receiving the covariance matrix update request 206, and/or to activation (208) of the process, by sending an add covariance matrix message 210 to the base station 106.
  • the add covariance message 210 can be considered a trace activation message, and/or can be considered a new information element (IE) of a trace activation message.
  • IE information element
  • the base station 106 can respond to receiving the add covariance matrix 210 from the RIC 202 and/or from the central host 102 by sending a reconfiguration message 212 to the user equipment(s) 108 served by the base station 106.
  • the reconfiguration message 212 can include, for example, a Radio Resource Control (RRC) reconfiguration message.
  • RRC Radio Resource Control
  • the user equipment(s) 108 can respond to receiving the reconfiguration message 212 from the base station 106 by sending reports 214 to the base station 106.
  • the reports 214 can include, for example, Layer 1 (LI) sounding resource signal (SRS) measurements and/or transmissions (which the user equipment 108 can report to the base station 106 via dedicated resource blocks (RBs) in an uplink direction, channel state information (CSI) reference signals (RSs) (CSLRSs), precoding matrix indicators (PMIs), rank indicators (RIs), and/or RRC MDT reports.
  • SRS Layer 1
  • RSs channel state information
  • PMIs precoding matrix indicators
  • RIs rank indicators
  • RRC MDT reports RRC MDT reports.
  • the reports 214 can indicate, for example, signal strengths of data signals sent to or from user equipment(s) 108, accessibility, which can include a proportion of calls from and to the user equipment(s) 108 between cellular networks that were successfully connected, and/or audio channel quality, which can include clarity of the communication channels between the base stations 106 and user equipment(s) 108.
  • the base station 106 can compile covariance matrices (216).
  • the base station 106 can natively compute the covariance matrices for each user equipment 108.
  • the base station 106 can compile one covariance matrix for each user equipment 108 from which the base station 106 received a report 214.
  • covariance matrices can indicate traffic volume, density of user equipments, and/or a spatial traffic representation within the cell served by the base station 106.
  • the base station 106 can compile the covariance matrices (216) for the purpose of Eigen Based Beamforming (EBB), a beamforming method for control channels and/or data .
  • EBB Eigen Based Beamforming
  • the base station 106 can send the covariance matrices 218 to the Trace Controller Entity 104.
  • the covariance matrices and be combined and/or collected together into a collection of covariance matrices, and/or the covariance matrices can be sent to the Trace Controller Entity 104 together within a collection of covariance matrices.
  • the base station 106 can send, to the Trace Controller Entity 104, an MDT report that includes the covariance matrices 218, and/or the covariance matrices 218 can be included in an MDT report that the base station 106 sends to the Trace Controller Entity 104.
  • the base station 106 can send, to the Trace Controller Entity 104, a signaled information element that includes the covariance matrices 218 and/or a trace record that includes the covariance matrices 218, and/or the covariance matrices 218 can be included in a signaled information element and/or a trace record that the base station 106 sends to the Trace Controller Entity 104.
  • the Trace Controller Entity 104 can send covariance matrix information 220 to the central host 102.
  • the covariance matrix information 220 can include covariance matrices received by the Trace Controller Entity 104 from multiple base stations 106.
  • the central host 102 can predict per-user equipment reference signal received power (per-UE RSRP and/or per-UE beamforming pair) from any beam of a dictionary of beams, without transmitting on the beam based on the received covariance matrix information 220.
  • the central host 102 can optimize beam patterns based on perbeam RSRR
  • the central host 102 can predict per-beam RSRP by post processing the covariances.
  • the central host 102 can generate configuration(s) (222).
  • the configuration can include beam configurations for the base station 106 maximize a strength of a signal in a particular direction, such a direction of a user equipment 108 to which the base station 106 sends a signal.
  • the process of generating the configuration(s) (222) is shown in FIG. 3.
  • the central host 102 can send the configuration(s) 224 to the base station(s) 106.
  • the base station 106 can perform beamforming, and/or configure beamforming, based on the configuration(s) 224 received from the central host 102.
  • the central host 102 can instruct the base station 106, based on the covariance information.
  • the central host 102 can perform load balancing based on the received covariance matrices, which can include determining cells that have too many user equipments and/or neighboring cells that have excess capacity for user equipments 108, and/or determining user equipments 108 that should be handed over to neighboring cells to balance the traffic load between cells.
  • the central host 102 can instruct the base station 106, which can be considered a first base station, to handover a user equipment 108 to another base station, which can be considered a second base station.
  • the configuration 224 can include a communication schedule for the base station 106 to send and receive data to and from the user equipment(s) 108 served by the base station 106.
  • the communication schedule can include a beamforming configuration for the base station 106 to send and receive data to and from the user equipment(s) 108 served by the base station 106.
  • FIG. 3 is a flowchart showing actions performed by the central host 102 to generate a configuration (222) according to an example implementation.
  • the central host 102 can receive covariance matrices (302).
  • the received covariance matrices can be included in the covariance matrix information 220 that the central host 102 received from the Trace Controller Entity 104.
  • the generating the configuration(s) 222 can include the central host 102 processing the covariance matrices (304). Processing the covariance matrices (304) can include, for example, extracting location information about the user equipments 108, about signal strengths, a proportion of calls from and to the user equipment(s) 108 between cellular networks that were successfully connected, and/or audio channel quality, which can include clarity of the communication channels between the base stations 106 and user equipment(s) 108.
  • the central host 102 can perform beam pattern optimization (306) and/or load balancing (308).
  • the beam pattern optimization can include beamforming information and/or beamforming configuration for the base station(s) 106 with respect to each user equipment 108 served by the respective base station 106, such as times by which to delay processing of signals received by specified antennas of the base station 106 and/or times by which to delay transmitting and/or sending signals transmitted and/or sent by specified antennas of the base station 106.
  • the load balancing (308) can include determining cells that have too many user equipments and/or neighboring cells that have excess capacity for user equipments 108, and/or determining user equipments 108 that should be handed over to neighboring cells to balance the traffic load between cells.
  • the central host 102 can generate the configuration(s) (310).
  • the central host 102 can generate the configuration(s) (310) by a machine learning (ML), such as deep reinforcement learning, training and/or inference algorithms.
  • the configuration can include the beamforming configuration and/or user equipment(s) 108 that should be handed over to a neighboring cell(s).
  • the algorithm can select an optimal beamforming configuration and/or beams and/or cell load balancing applications across multiple base stations 106.
  • the algorithm can consider spatial traffic and/or radio maps of the user equipments 108 and/or data traffic.
  • FIG. 4 is a flowchart showing a method 400 performed by the central host 102 according to an example implementation.
  • the method 400 can include the central host 102 receiving traffic reports (402).
  • the central host 102 can receive the traffic reports from base stations 106.
  • the traffic reports can include signal strengths of data signals sent to or from user equipment(s) 108, accessibility, and/or audio quality.
  • the method 400 can include the central host 102 determining whether the quality of the traffic reports is satisfactory (404).
  • the central host 102 can generate a weighted sum or average of the traffic reports, and compare the weighted sum or average to a quality threshold. If the weighted sum or average is equal to or greater than the quality threshold, then the central host 102 can determine that the traffic quality is satisfactory and continue receiving traffic reports (402).
  • the central host can determine that the traffic quality is unsatisfactory and/or is not satisfactory, and can send an update request (406).
  • the update request can include a covariance matrix update request 206, as shown and described with respect to FIG. 2.
  • the central host 102 can send the update request directly to the base station(s) 106, or send the update request to the base station 106 via the RIC 202.
  • the central host 102 can receive covariance matrices (302).
  • the covariance matrices can be included in covariance matrix information 220, as shown and described with respect to FIG. 2.
  • the central host 102 can generate configuration(s) 222, as shown and described with respect to FIGs. 2 and 3.
  • the central host 102 can send configuration(s) 408 to the base station(s) 106.
  • the sending configuration(s) 408 can include sending configuration(s) 224 as shown and described with respect to FIG. 2.
  • FIG. 5 is a flowchart showing a method 500 performed by the base station 106 according to an example implementation.
  • the method 500 can include receiving, from a central host 102, a covariance matrix update request 206 (502).
  • the method 500 can include, in response to receiving the covariance matrix update request 206, generating a covariance matrix based on signals received from a user equipment 108 (504).
  • the method 500 can include sending the covariance matrix to the central host 102 (506).
  • the sending the covariance matrix to the central host 102 can include sending the covariance matrix to the central host 102 via a trace collector entity 104.
  • the covariance matrix can be included in a signaled information element or a trace record.
  • the signaled information element or the trace record can include the covariance matrix and a location of the user equipment.
  • the generating the covariance matrix (504) can include generating the covariance matrix based on at least one of a Layer 1 (LI) measurement on a sounding resource signal (SRS) transmission from the user equipment, a channel state information (CSI) report received from the user equipment,, a precoding matrix indicator (PMI) received from the user equipment, or a rank indicator (RI) received from the user equipment.
  • LI Layer 1
  • SRS sounding resource signal
  • CSI channel state information
  • PMI precoding matrix indicator
  • RI rank indicator
  • the generating the covariance matrix (504) can include generating the covariance matrix based on sounding resource signals received from the user equipment.
  • the generating the covariance matrix (504) can include generating a first covariance matrix based on signals received from a first user equipment 108 A, and the sending the covariance matrix can include sending the first covariance matrix to the central host 102.
  • the method can further include, in response to receiving the covariance matrix update request, generating a second covariance matrix based on signals received from a second user equipment 108B, and sending the second covariance matrix to the central host 102.
  • the first covariance matrix and the second covariance matrix can be sent by the base station 106 to the central host 102 and can be included in a collection of covariance matrices.
  • the first covariance matrix and the second covariance matrix can indicate traffic distribution within a cell 107A served by the base station 106A.
  • the method 500 can further include receiving, from the central host 102, a communication schedule, and performing beamforming based on the communication schedule.
  • FIG. 6 is a flowchart showing a method 600 performed by the central host 102 according to an example implementation.
  • the method 600 can include determining that traffic quality within a cell 107A served by a base station 106A is unsatisfactory (602).
  • the method 600 can include, based on determining that traffic quality within the cell 107A served by the base station 106A is unsatisfactory, sending a covariance matrix update request 206 to the base station 106A (604).
  • the method 600 can include receiving, from the base station 106 A, a covariance matrix (606).
  • the receiving the covariance matrix can include receiving the covariance matrix from the base station 106 A via a trace collector entity 104.
  • the method 600 can further include generating, based on the covariance matrix, a communication schedule, and sending the communication schedule to the base station 106A.
  • the communication schedule can indicate a beamforming configuration for the base station 106A.
  • the base station 106A can include a first base station and the covariance matrix can include a first covariance matrix.
  • the method can further include receiving a second covariance matrix from a second base station 106B, determining, based on the first covariance matrix and the second covariance matrix, that a user equipment 108A served by the first base station 106A should be served by the second base station 106B, based on determining that the user equipment 108A served by the first base station 106 A should be served by the second base station 106B, sending an instruction to the first base station 106A to handover the user equipment 108A to the second base station 106B.
  • FIG. 7 is a diagram of a wireless station 700 according to an example implementation.
  • the wireless station 700 can include an access point, base station 106, gNB, or user equipment 108, according to example embodiments.
  • the wireless station 700 can include, for example, one or more wireless transceivers 702, which can include multiple transmitters and/or transmission antenna ports to transmit signals and multiple receivers and/or receive antenna ports to receive signals.
  • the wireless station 700 also includes a processor or control unit/entity (controller) 704 to execute instructions or software and control transmission and receptions of signals, and a memory 706 to store data and/or instructions.
  • a processor or control unit/entity (controller) 704 to execute instructions or software and control transmission and receptions of signals
  • a memory 706 to store data and/or instructions.
  • Processor 704 may also make decisions or determinations, generate frames, packets or messages for transmission, decode received frames or messages for further processing, and other tasks or functions described herein.
  • Processor 704, which may be a baseband processor, for example, may generate messages, packets, frames or other signals for transmission via wireless transceiver 702.
  • Processor 704 may control transmission of signals or messages over a wireless network, such as the network 100, and may control the reception of signals or messages, etc., via a wireless network (e.g., after being down-converted by wireless transceiver 702, for example).
  • Processor 704 may be programmable and capable of executing software or other instructions stored in memory 706 or on other computer media to perform the various tasks and functions described above, such as one or more of the tasks or methods described above.
  • the memory 706 can include a non-transitory computer-readable storage medium comprising instructions stored thereon that, when executed by at least one processor, such as the processor 704, cause a computing system, such as the wireless station 700 to perform any combination of methods, functions, and/or techniques described herein.
  • Processor 704 may be (or may include), for example, hardware, programmable logic, a programmable processor that executes software or firmware, and/or any combination of these.
  • processor 704 and transceiver 702 together may be considered as a wireless transmitter/receiver system, for example.
  • a controller (or processor) 708 may execute software and instructions, and may provide overall control for the station 700, and may provide control for other systems not shown in FIG. 7, such as controlling input/output devices (e.g., display, keypad), and/or may execute software for one or more applications that may be provided on wireless station 700, such as, for example, an email program, audio/video applications, a word processor, a Voice over IP application, or other application or software.
  • a storage medium may be provided that includes stored instructions, which when executed by a controller or processor may result in the processor 704, or other controller or processor, performing one or more of the functions or tasks described above.
  • RF or wireless transceiver(s) 702 may receive signals or data and/or transmit or send signals or data.
  • Processor 704 (and possibly transceiver 702) may control the RF or wireless transceiver 702 to receive, send, broadcast or transmit signals or data.
  • Implementations of the various techniques described herein may be implemented in digital electronic circuitry, or in computer hardware, firmware, software, or in combinations of them. Implementations may implemented as a computer program product, i.e., a computer program tangibly embodied in an information carrier, e.g., in a machine-readable storage device, for execution by, or to control the operation of, data processing apparatus, e.g., a programmable processor, a computer, or multiple computers.
  • data processing apparatus e.g., a programmable processor, a computer, or multiple computers.
  • a computer program such as the computer program(s) described above, can be written in any form of programming language, including compiled or interpreted languages, and can be deployed in any form, including as a stand-alone program or as a module, component, subroutine, or other unit suitable for use in a computing environment.
  • a computer program can be deployed to be executed on one computer or on multiple computers at one site or distributed across multiple sites and interconnected by a communication network.
  • Method steps may be performed by one or more programmable processors executing a computer program to perform functions by operating on input data and generating output. Method steps also may be performed by, and an apparatus may be implemented as, special purpose logic circuitry, e.g., an FPGA (field programmable gate array) or an ASIC (application- specific integrated circuit).
  • FPGA field programmable gate array
  • ASIC application- specific integrated circuit
  • processors suitable for the execution of a computer program include, by way of example, both general and special purpose microprocessors, and any one or more processors of any kind of digital computer.
  • a processor will receive instructions and data from a read-only memory or a random access memory or both.
  • Elements of a computer may include at least one processor for executing instructions and one or more memory devices for storing instructions and data.
  • a computer also may include, or be operatively coupled to receive data from or transfer data to, or both, one or more mass storage devices for storing data, e.g., magnetic, magneto-optical disks, or optical disks.
  • Information carriers suitable for embodying computer program instructions and data include all forms of non-volatile memory, including by way of example semiconductor memory devices, e.g., EPROM, EEPROM, and flash memory devices; magnetic disks, e.g., internal hard disks or removable disks; magneto-optical disks; and CD-ROM and DVD-ROM disks.
  • semiconductor memory devices e.g., EPROM, EEPROM, and flash memory devices
  • magnetic disks e.g., internal hard disks or removable disks
  • magneto-optical disks e.g., CD-ROM and DVD-ROM disks.
  • the processor and the memory may be supplemented by, or incorporated in special purpose logic circuitry.
  • implementations may be implemented on a computer having a display device, e.g., a cathode ray tube (CRT) or liquid crystal display (LCD) monitor, for displaying information to the user and a keyboard and a pointing device, e.g., a mouse or a trackball, by which the user can provide input to the computer.
  • a display device e.g., a cathode ray tube (CRT) or liquid crystal display (LCD) monitor
  • keyboard and a pointing device e.g., a mouse or a trackball
  • Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback, e.g., visual feedback, auditory feedback, or tactile feedback; and input from the user can be received in any form, including acoustic, speech, or tactile input.
  • Implementations may be implemented in a computing system that includes a back-end component, e.g., as a data server, or that includes a middleware component, e.g., an application server, or that includes a front-end component, e.g., a client computer having a graphical user interface or a Web browser through which a user can interact with an implementation, or any combination of such back-end, middleware, or front-end components.
  • Components may be interconnected by any form or medium of digital data communication, e.g., a communication network. Examples of communication networks include a local area network (LAN) and a wide area network (WAN), e.g., the Internet.
  • LAN local area network
  • WAN wide area network

Landscapes

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

Abstract

Selon l'invention, un procédé mis en œuvre par une station de base peut comprendre la réception, à partir d'un hôte central, d'une demande de mise à jour de matrice de covariance, en réponse à la réception de la demande de mise à jour de matrice de covariance, la production d'une matrice de covariance en fonction de signaux reçus d'un équipement d'utilisateur, et l'envoi de la matrice de covariance à l'hôte central.
PCT/US2020/045401 2020-08-07 2020-08-07 Mises à jour de matrice de covariance WO2022031295A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/US2020/045401 WO2022031295A1 (fr) 2020-08-07 2020-08-07 Mises à jour de matrice de covariance

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/US2020/045401 WO2022031295A1 (fr) 2020-08-07 2020-08-07 Mises à jour de matrice de covariance

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WO2022031295A1 true WO2022031295A1 (fr) 2022-02-10

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110064035A1 (en) * 2009-09-11 2011-03-17 Guerreiro Igor Moaco Method and Apparatus for Reducing Multi-User-Interference in a Wireless Communication System
US20110164691A1 (en) * 2010-01-06 2011-07-07 Motorola, Inc. Closed-loop transmission feedback in wireless communication systems
US20120027111A1 (en) * 2010-07-29 2012-02-02 Motorola, Inc. Method and apparatus for major group scheduling in a fixed beam communication system
US20160007216A1 (en) * 2012-08-03 2016-01-07 Intel Corporation Coverage adjustment in e-utra networks
US20160080957A1 (en) * 2012-05-17 2016-03-17 Marvell World Trade Ltd. Calculating and reporting channel characteristics

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110064035A1 (en) * 2009-09-11 2011-03-17 Guerreiro Igor Moaco Method and Apparatus for Reducing Multi-User-Interference in a Wireless Communication System
US20110164691A1 (en) * 2010-01-06 2011-07-07 Motorola, Inc. Closed-loop transmission feedback in wireless communication systems
US20120027111A1 (en) * 2010-07-29 2012-02-02 Motorola, Inc. Method and apparatus for major group scheduling in a fixed beam communication system
US20160080957A1 (en) * 2012-05-17 2016-03-17 Marvell World Trade Ltd. Calculating and reporting channel characteristics
US20160007216A1 (en) * 2012-08-03 2016-01-07 Intel Corporation Coverage adjustment in e-utra networks

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