Name
Abstract | ||
|---|---|---|
Antenna selection is a promising technology to achieve a good balance between high transmission capacity and low hardware complexity for massive multiple-input multiple-output (MIMO) systems. However, the design of a near-optimal antenna selection algorithm with low searching complexity is still a challenge. In this paper, we describe a self-supervised learning based Monte Carlo Tree Search (MCTS)... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TSP.2019.2940128 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
Radio frequency,Antenna arrays,Complexity theory,Transmitting antennas,Receiving antennas | Monte Carlo tree search,Mathematical optimization,Selection algorithm,MIMO,Algorithm,Communication channel,Greedy algorithm,Channel capacity,Mathematics,Bit error rate,Channel state information | Journal |
Volume | Issue | ISSN |
67 | 20 | 1053-587X |
Citations | PageRank | References |
3 | 0.36 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jienan Chen | 1 | 17 | 8.93 |
| Siyu Chen | 2 | 11 | 10.49 |
| Yunlong Qi | 3 | 3 | 0.36 |
| Shengli Fu | 4 | 299 | 30.13 |