认知无线电网络中用户传输距离的优化研究

Study on Optimal Transmission Range in Cognitive Radio Networks

针对认知无线电网络(Cognitive Radio Networks,CRNs)的能耗问题,提出能效感知的定位算法(Energy Efficient Localization Algorithm,EELA)算法能。EELA算法给次级用户(SecondUsers,SUs)提供最优的传输距离,进而减少CRNs的功率消耗。考虑到CRNs的能效,利用主级用户和次级用户的位置信息,EELA优化用户的传输距离。同时,EELA算法优化SUs的部署位置,进而提高整个CRN的定位精度。仿真结果表明提出的EELA算法的定位精度逼近于Cramer-Rao下限。

For energy consumption in Cognitive Radio Networks,the energy efficient localization algorithm(EELA)is proposed in this paper.EELA provides the optimal transmission range for secondary users to minimize the power consumption of the overall CRNs.Considering energy efficiency in CRNs,location information of primary users and SUs is valuable to calculate the optimal transmission range.In addition,the optimal positions of the SUs with known location are determined to improve the final localization accuracy for the whole CRN.Simulation results show that the estimation accuracy of the proposed localization algorithm can attain the Cramer-Rao lower bound.