Open AccessEfficient swarm intelligent algorithm for power control game in cognitive radio networks
Author(s) -
Kuo Yonghong,
Yang Jianghong,
Chen Jian
Publication year - 2013
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2012.0780
Subject(s) - computer science , cognitive radio , power control , underlay , interference (communication) , game theory , key (lock) , mathematical optimization , convergence (economics) , swarm intelligence , spectrum management , swarm behaviour , power (physics) , signal to noise ratio (imaging) , algorithm , particle swarm optimization , computer network , telecommunications , wireless , artificial intelligence , mathematics , channel (broadcasting) , physics , computer security , mathematical economics , quantum mechanics , economic growth , economics
Cognitive radio networks (CRNs) are applied to solve spectrum scarcity. In this study, the authors propose an efficient power control game to improve its performance based on outage probability of primary user in a spectrum‐underlay CRN. The interference threshold deduced from outage probability and normalised signal to interference plus noise ratio are used to develop a novel non‐linear pricing function, which is a key element of obtaining Pareto improvement in non‐cooperative power control game. In addition, an efficient swarm intelligent algorithm originated from eco‐group activities is designed in detail to accelerate the convergence speed and improve the energy‐efficiency. Theoretical analysis and simulation results are presented to prove the effectiveness and superiority of the proposed power control game.