Name
Title | ||
|---|---|---|
Introduction to the Special Section on Deep Reinforcement Learning for Future Wireless Communication Networks |
Abstract | ||
|---|---|---|
We are delighted to introduce the readers to this special section of the IEEE Transactions on Cognitive Communications and Networking (TCCN), which aims at exploring recent advances and addressing practical challenges in the applications of deep reinforcement learning (DRL) in modern wireless networks. We have received a total of 29 submissions, and after a rigorous review process, 12 articles have been selected for publication, which are briefly discussed as follows. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TCCN.2019.2954144 | IEEE Transactions on Cognitive Communications and Networking |
Keywords | Field | DocType |
Special issues and sections, Deep learning, Reinforcement learning, Wireless networks, Communication networks | Wireless network,Telecommunications network,Wireless,Review process,Computer science,Computer network,Cognitive communications,Artificial intelligence,Deep learning,Special section,Multimedia,Reinforcement learning | Journal |
Volume | Issue | ISSN |
5 | 4 | 2332-7731 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gong Shimin | 1 | 424 | 34.89 |
| Dinh Thai Hoang | 2 | 1413 | 77.92 |
| Niyato Dusit | 3 | 9486 | 547.06 |
| Ahmed El Shafie | 4 | 1 | 0.35 |
| Antonio De Domenico | 5 | 220 | 21.62 |
| Emilio Calvanese Strinati | 6 | 311 | 35.74 |
| Jakob Hoydis | 7 | 2121 | 112.59 |