JOURNAL ARTICLE

Power Allocation Using Non-Cooperative Game Theoretic Analysis in Cognitive Radio Networks

Abstract

Based on interference temperature model, the spectrum sharing problem between the secondary user and primary user can be formulated as optimization problem. In this paper, we propose a suboptimal distributed non-cooperative game theoretic power control algorithm for solving this optimization problem. Simulation results show that the proposed algorithm provides significant power saving compared to the optimal solution power control algorithm with slight performance sacrifice. Meanwhile, the proposed power control algorithm can be implemented distributively, which is very suitable for practical scenario. And therefore, the proposed algorithm is also compared with other non-cooperative power control algorithm, simulation results show that our proposed algorithm achieves significantly better performance than the latter algorithm with consuming slightly more power.

Keywords:
Computer science Power control Cognitive radio Game theory Interference (communication) Power (physics) Mathematical optimization Control (management) Algorithm design Optimization problem Algorithm Computer network Wireless Artificial intelligence Mathematics Telecommunications Channel (broadcasting)

Metrics

7
Cited By
1.48
FWCI (Field Weighted Citation Impact)
10
Refs
0.82
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cognitive Radio Networks and Spectrum Sensing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Wireless Communication Networks Research
Physical Sciences →  Computer Science →  Computer Networks and Communications

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