Name
Abstract | ||
|---|---|---|
In a spectrum sharing system lower priority users are allowed to spatially reuse the spectrum allocated to higher priority users as long as they do not disrupt communications of the latter Therefore to improve spectrum utilization an important requirement for the former users is to manage the interference and ensure that the latter users can maintain reliable communications In the present paper a game theoretic framework of joint channel selection and power allocation for spectrum sharing in distributed cognitive radio networks is proposed First a utility function that captures the cooperative behavior to manage the interference and the satisfaction level to improve the throughput of the lower priority users is de fined Next based on the defined utility function the proposed framework can be formulated as a potential game thus it is guaranteed to converge to a Nash equilibrium when the best response dynamic is performed Simulation results show the convergence of the proposed potential game and reveal that performance improvements in terms of network throughput of the lower priority users and outage probability of the higher priority users can be achieved by the introduction of an adaptive coefficient adjustment scheme in the proposed utility function at the expense of the convergence to the Nash equilibrium |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1587/transcom.E93.B.3284 | IEICE TRANSACTIONS ON COMMUNICATIONS |
Keywords | Field | DocType |
spectrum sharing, interference management, cognitive radio game theory, potential game | Convergence (routing),Computer science,Potential game,Best response,Computer network,Communication channel,Game theory,Throughput,Nash equilibrium,Distributed computing,Cognitive radio | Journal |
Volume | Issue | ISSN |
E93B | 12 | 0916-8516 |
Citations | PageRank | References |
1 | 0.34 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| I. Wayan Mustika | 1 | 1 | 0.34 |
| Koji Yamamoto | 2 | 86 | 16.61 |
| Hidekazu Murata | 3 | 164 | 37.72 |
| Susumu Yoshida | 4 | 45 | 5.52 |