Name
Title | ||
|---|---|---|
Beyond Supervised Power Control in Massive MIMO Network: Simple Deep Neural Network Solutions |
Abstract | ||
|---|---|---|
Power control in massive multiple input multiple output (MIMO) systems is an appealing technique to improve network performance and reliability. The traditional methods to solve such problems are based on the convex optimization theory, which incurs high computational complexity. In contrast, this work leverages deep neural networks to maximize the minimum data rate of the downlink users in the ma... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TVT.2022.3146434 | IEEE Transactions on Vehicular Technology |
Keywords | DocType | Volume |
Resource management,Power control,Massive MIMO,Neural networks,Deep learning,Training,Reinforcement learning | Journal | 71 |
Issue | ISSN | Citations |
4 | 0018-9545 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhengming Zhang | 1 | 0 | 0.34 |
| Meng Hua | 2 | 122 | 8.93 |
| Chunguo Li | 3 | 48 | 10.72 |
| Yongming Huang | 4 | 1472 | 146.50 |
| Luxi Yang | 5 | 164 | 22.41 |