Name
Title | ||
|---|---|---|
A Stochastic Game-Theoretic Approach for Interference Mitigation in Small Cell Networks |
Abstract | ||
|---|---|---|
In this letter, we investigate the distributed channel selection for interference mitigation in small cell networks considering the random deployment and dynamic on-off activity. Game theory is adopted to analyze the distributed and interactive decision making, and the problem is formulated as an exact potential game, in which the Nash equilibrium (NE) minimizes the expected network interference, either globally or locally. Furthermore, we design a fully distributed, no-regret channel selection algorithm to find the NE solution in dynamic environment. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/LCOMM.2014.2377156 | IEEE Communications Letters |
Keywords | Field | DocType |
Interference,Games,Heuristic algorithms,Femtocells,Macrocell networks,Algorithm design and analysis,Wireless communication | Algorithm design,Computer science,Potential game,Selection algorithm,Communication channel,Game theory,Small cell,Nash equilibrium,Stochastic game,Distributed computing | Journal |
Volume | Issue | ISSN |
19 | 2 | 1089-7798 |
Citations | PageRank | References |
12 | 0.49 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianchao Zheng | 1 | 223 | 16.21 |
| Yueming Cai | 2 | 918 | 102.96 |
| Alagan Anpalagan | 3 | 1263 | 125.52 |