Name
Abstract | ||
|---|---|---|
We propose a mechanism for distributed resource management and interference mitigation in wireless networks using multi-agent deep reinforcement learning (RL). We equip each transmitter in the network with a deep RL agent that receives delayed observations from its associated users, while also exchanging observations with its neighboring agents, and decides on which user to serve and what transmit... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TWC.2021.3051163 | IEEE Transactions on Wireless Communications |
Keywords | DocType | Volume |
Wireless networks,Resource management,Power control,Wireless communication,Radio transmitters,Interference,Downlink | Conference | 20 |
Issue | ISSN | Citations |
6 | 1536-1276 | 3 |
PageRank | References | Authors |
0.38 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Navid Naderializadeh | 1 | 146 | 8.67 |
| Sydir Jaroslaw | 2 | 3 | 0.38 |
| Meryem Simsek | 3 | 241 | 23.29 |
| Hosein Nikopour | 4 | 365 | 21.15 |