DOWLINK POWER ALLOCATION FOR MASSIVE MIMO USING GRAPH NEURAL NETWORK

    公开(公告)号:US20250106779A1

    公开(公告)日:2025-03-27

    申请号:US18890628

    申请日:2024-09-19

    Abstract: Various example embodiments relate to downlink power allocation in general massive MIMO systems. A method may comprise: constructing a graph representing a plurality of user equipments and a plurality of access points, wherein the graph comprises a plurality of nodes, wherein each node represents a communication link between one user equipment of the plurality of user equipments and one access point of the plurality of access points, and for at least one node of the graph, determining a power control parameter for the access point associated with said node using a graph neural network, and transmitting the determined power control to the access point associated with said node.

    Low complexity precoder
    2.
    发明授权

    公开(公告)号:US11963111B2

    公开(公告)日:2024-04-16

    申请号:US18237025

    申请日:2023-08-23

    CPC classification number: H04W52/42 H04B7/0456 H04W52/34

    Abstract: An apparatus is disclosed, which may include: at least one processor; and at least one memory storing instructions that, when executed by the at least one processor, cause the apparatus at least to perform: receiving downlink channel estimates between a plurality of access point (AP) antennas of one or more APs and a plurality of user equipment (UE) antennas of one or more UEs; iteratively updating a set of power allocation weights for the AP antennas using weights extracted from a precoder; computing the precoder based on the received channel estimates and a previous set of power allocation weights; performing the iterative updates until a stopping criterion is reached; and outputting data representative of a precoder computed from the received channel estimates and the updated set of power allocation weights.

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