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• W4295679965 abstract "In this letter, we investigate user-centric access point (AP) selection for cell-free massive multiple-input multiple-output (MIMO) systems. In contrast to existing works, we study this problem from the perspective of game theory and model user-centric AP service cluster formation as a local altruistic game, which is proven to be an exact potential game (EPG) and to have at least one pure Nash equilibrium (NE). Then, an improved maximum non-neighbor-set-based concurrent spatial adaptive play (MNSB-C-SAP) algorithm is proposed to achieve the NE. Simulation results show that the proposed algorithm outperforms existing algorithms in terms of convergence speed and verify the superiority of the game-theoretic AP selection method compared with some existing approaches." @default.
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• W4295679965 date "2022-09-01" @default.
• W4295679965 modified "2023-10-17" @default.
• W4295679965 title "User-Centric Access Point Selection in Cell-Free Massive MIMO Systems: A Game-Theoretic Approach" @default.
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• W4295679965 doi "https://doi.org/10.1109/lcomm.2022.3186350" @default.
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