Al-Gumaei Yousef Ali, Noordin Kamarul Ariffin, Reza Ahmed Wasif, Dimyati Kaharudin
Department of Electrical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia.
Department of Electrical and Electronics Engineering, Faculty of Engineering, National Defence University of Malaysia, Kuala Lumpur, Malaysia.
PLoS One. 2014 Oct 6;9(10):e109077. doi: 10.1371/journal.pone.0109077. eCollection 2014.
Interference resulting from Cognitive Radios (CRs) is the most important aspect of cognitive radio networks that leads to degradation in Quality of Service (QoS) in both primary and CR systems. Power control is one of the efficient techniques that can be used to reduce interference and satisfy the Signal-to-Interference Ratio (SIR) constraint among CRs. This paper proposes a new distributed power control algorithm based on game theory approach in cognitive radio networks. The proposal focuses on the channel status of cognitive radio users to improve system performance. A new cost function for SIR-based power control via a sigmoid weighting factor is introduced. The existence of Nash Equilibrium and convergence of the algorithm are also proved. The advantage of the proposed algorithm is the possibility to utilize and implement it in a distributed manner. Simulation results show considerable savings on Nash Equilibrium power compared to relevant algorithms while reduction in achieved SIR is insignificant.
认知无线电（CR）产生的干扰是认知无线电网络最重要的方面，它会导致主系统和CR系统的服务质量（QoS）下降。功率控制是一种可用于减少干扰并满足CR之间信号干扰比（SIR）约束的有效技术。本文提出了一种基于博弈论方法的认知无线电网络分布式功率控制新算法。该提议侧重于认知无线电用户的信道状态以提高系统性能。引入了一种通过Sigmoid加权因子进行基于SIR的功率控制的新成本函数。还证明了纳什均衡的存在性和算法的收敛性。所提算法的优点是有可能以分布式方式使用和实现它。仿真结果表明，与相关算法相比，在纳什均衡功率方面有可观的节省，而实现的SIR降低并不显著。
