Name
Title | ||
|---|---|---|
Multi-Agent Reinforcement Learning-Based Distributed Channel Access for Next Generation Wireless Networks |
Abstract | ||
|---|---|---|
In the next generation wireless networks, more applications will emerge, covering virtual reality movies, augmented reality, holographic three-dimensional telepresence, haptic telemedicine and so on, which require the provisioning of high bandwidth efficiency and low latency services. In order to better support the aforementioned applications and services, novel distributed channel access (DCA) sc... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/JSAC.2022.3143251 | IEEE Journal on Selected Areas in Communications |
Keywords | DocType | Volume |
Media Access Protocol,Protocols,Throughput,Neural networks,Heuristic algorithms,Delays,Training | Journal | 40 |
Issue | ISSN | Citations |
5 | 0733-8716 | 1 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ziyang Guo | 1 | 6 | 1.41 |
| Zhenyu Chen | 2 | 1 | 0.34 |
| Liu Peng | 3 | 27 | 11.45 |
| Jianjun Luo | 4 | 1 | 0.34 |
| Xun Yang | 5 | 15 | 2.48 |
| Xinghua Sun | 6 | 90 | 11.38 |