Name
Title | ||
|---|---|---|
Dynamics of User Association in Non-Orthogonal Multiple Access Enhanced Fog Radio Access Networks |
Abstract | ||
|---|---|---|
In order to improve spectrum efficiency (SE) and efficiently support the massive connections in fog radio access networks (F-RANs), a non-orthogonal multiple access (NOMA) enhanced F-RANs architecture is proposed. Since the network congestion may cause system performance degradation, choosing appropriate communication mode is necessary to performance optimization in the complex scenarios. We study dynamic user association mode selection with two algorithms based on evolutionary game and reinforcement learning, respectively, where the payoff function jointly considers quality of service, delay cost, and power consumption. Simulation results show that adopting NOMA technology in F-RANs can effectively improve SE and both of two proposed algorithms can achieve the equilibrium of dynamic user association. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/GCWkshps45667.2019.9024461 | 2019 IEEE Globecom Workshops (GC Wkshps) |
Keywords | DocType | ISSN |
spectrum efficiency,F-RAN architecture,network congestion,dynamic user association mode selection,fog radio access networks,nonorthogonal multiple access,quality of service,NOMA technology,delay cost,power consumption | Conference | 2166-0069 |
ISBN | Citations | PageRank |
978-1-7281-0961-9 | 0 | 0.34 |
References | Authors | |
11 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lin Qi | 1 | 10 | 7.28 |
| Mugen Peng | 2 | 2779 | 200.37 |
| Yaqiong Liu | 3 | 25 | 10.94 |
| Shi Yan | 4 | 127 | 19.94 |