Adaptive Transmission in Cognitive Radio Networks

摘要：

In this paper, we investigate the adaptive transmission in cognitive radio networks using genetic algorithms (GA), the relevant communication parameters are optimized in a dynamic wireless channel environment. Firstly, we give the variables representing the transmission parameters that can be controlled by the system, several objective functions in different layers must also be determined to define how the cognitive radio should operate, then we invoke genetic algorithms for iteratively finding the optimum parameters toward different quality of service (QoS) based on the channel environment. The channel state information is assumed to be perfectly known by the transmission side. Simulation results show that our implementation outperforms the conventional scheme for with parameters are optimized at each layer separately.

关键词： Adaptive transmission Cognitive radio network Genetic algorithm

作者: Yuling Zhang Fuzeng Zhang Wenwei He

作者单位: School of Computer Science and Technology, Ludong University, Yantai, Shandong, 264025

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 1951-1953

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）