BEAM AND ANTENNA ARRAY SPLIT CONFIGURATION OPTIMIZATION

    公开(公告)号:US20230275638A1

    公开(公告)日:2023-08-31

    申请号:US18114329

    申请日:2023-02-27

    CPC classification number: H04B7/0632 H04B7/043

    Abstract: Beam and antenna array split configuration optimization is disclosed. A network node device generates a beam dictionary defining a set of beams. The network node device estimates a traffic density distribution for a radio channel based on obtained channel quality information. The network node device determines, for each of at least two array split configurations associated with a transceiver antenna array of the network node device, a set of optimal beams from the beam dictionary that optimizes a utility function, based on the estimated traffic density distribution. The network node device selects an array split configuration that maximizes the utility function across a coverage area of a radio cell associated with the network node device. The network node device applies the selected array split configuration to the transceiver antenna array in response to evaluating that the selected array split configuration improves downlink performance.

    EFFICIENT DATA GENERATION FOR BEAM PATTERN OPTIMIZATION

    公开(公告)号:US20210083737A1

    公开(公告)日:2021-03-18

    申请号:US17018615

    申请日:2020-09-11

    Abstract: In some embodiments, a computing system maintains, in a memory, information on one or more terminal devices, a dictionary of beams and information on a spatial grid. The computing system maps each terminal device to the spatial grid based on up-to-date results of radio measurements and calculates, for each spatial element, a load caused by the one or more terminal devices based on the mapping. The computing system evaluates, for each combination of a beam and a terminal device, a reference signal received power, RSRP, based on results of the radio measurements. The computing system calculates a first map of expected spatial distribution of traffic based on the calculated loads and beam-specific second maps of expected RSRP based on the values of the RSRP. Finally, the computing system causes performing beamforming optimization based on the first map and second maps.

    BEAM SELECTION FOR CELLULAR ACCESS NODES

    公开(公告)号:US20220256389A1

    公开(公告)日:2022-08-11

    申请号:US17590326

    申请日:2022-02-01

    Abstract: A solution for allocating N radio beam configurations to access nodes including, in some embodiments, a method comprising storing a beam library defining a set of radio beam configurations for a coverage area. A coverage area is divided into sub-areas, and a set of channel quality metrics is collected, as is a traffic density parameter for each sub-area. The following steps are performed: selecting N radio beam configurations from the set of radio beam configurations; mapping each sub-area with one of the selected N radio beam configurations; computing a service performance for the selected N radio beam configurations; the service performance is weighted by the traffic density parameters. The service performance are stored as linked to each radio beam configuration of the selected N radio beam configurations. Based on the stored service performances, a set of N radio beam configurations is selected and the N radio beam configurations are allocated.

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