Name
Title | ||
|---|---|---|
A Deep Reinforcement Learning Framework for Spectrum Management in Dynamic Spectrum Access |
Abstract | ||
|---|---|---|
Dynamic spectrum access (DSA) has the great potential to alleviate spectrum shortage and promote network capacity. However, two fundamental technical issues have to be addressed, namely, interference coordination between DSA users and interference suppression for primary users (PUs). These two issues are very challenging since generally there is no powerful infrastructures in DSA networks to suppo... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/JIOT.2021.3052691 | IEEE Internet of Things Journal |
Keywords | DocType | Volume |
Interference,Radio spectrum management,Wireless communication,Resource management,Reinforcement learning,Internet of Things,Artificial neural networks | Journal | 8 |
Issue | ISSN | Citations |
14 | 2327-4662 | 3 |
PageRank | References | Authors |
0.36 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hao Song | 1 | 50 | 12.34 |
| Lingjia Liu | 2 | 799 | 92.58 |
| Jonathan D. Ashdown | 3 | 37 | 10.66 |
| Yang Yi | 4 | 159 | 26.70 |