JOURNAL ARTICLE

A game-based power control scheme for cognitive radio networks

Jingshan DuanJin LiuSupeng LengQing Wang

Year: 2012 Journal:   2012 International Conference on Computational Problem-Solving (ICCP) Vol: 25 Pages: 76-79

Abstract

This paper proposes a non-cooperative Game-based Multichannel Power Control (GMPC) model and a wireless resource allocation scheme for CR networks. Considering the power constraint of primary users and secondary users, the proposed model attempt to not only maximize the network throughput but also minimize the total power consumed in a CR network with external interferences. Moreover, the theoretical analysis is conducted to prove the convergence to the Nash Equilibrium. Simulations results indicate that the proposed scheme is achieve higher throughout and consume little power in the network with external interference, compared with the existing approaches.

Keywords:
Power control Computer science Nash equilibrium Convergence (economics) Cognitive radio Throughput Scheme (mathematics) Game theory Resource allocation Interference (communication) Resource management (computing) Power (physics) Computer network Constraint (computer-aided design) Wireless network Wireless Control (management) Mathematical optimization Radio resource management Telecommunications Engineering Mathematics Channel (broadcasting) Artificial intelligence

Metrics

4
Cited By
0.00
FWCI (Field Weighted Citation Impact)
7
Refs
0.16
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
Wireless Communication Networks Research
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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