Name
Title | ||
|---|---|---|
User-Centric Access Point Selection in Cell-Free Massive MIMO Systems: A Game-Theoretic Approach |
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. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/LCOMM.2022.3186350 | IEEE Communications Letters |
Keywords | DocType | Volume |
Cell-free massive MIMO,AP~selection,local altruistic game,exact potential game | Journal | 26 |
Issue | ISSN | Citations |
9 | 1089-7798 | 0 |
PageRank | References | Authors |
0.34 | 15 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chen Wei | 1 | 0 | 0.34 |
| Kui Xu | 2 | 0 | 1.01 |
| Xiaochen Xia | 3 | 0 | 0.68 |
| Qiao Su | 4 | 0 | 1.69 |
| Maiying Shen | 5 | 0 | 0.68 |
| Wei Xie | 6 | 2 | 1.37 |
| Chunguo Li | 7 | 48 | 10.72 |