基于OFDM的认知无线网络中最小代价增量资源分配算法  

Minimal cost increment resource allocation algorithm for OFDM-based cognitive radio networks

作　　者：陈海燕[1] 肖军[2] 龙应兴 丁国如[4] 闵能5 

机构地区：[1]北京电子科技职业学院,北京100015 [2]广州军区政治部,广东广州510084 [3]第二炮兵司令部,北京100085 [4]解放军理工大学通信工程学院,江苏南京210007

出　　处：《解放军理工大学学报（自然科学版）》2012年第2期129-133,共5页Journal of PLA University of Science and Technology(Natural Science Edition)

基　　金：国家973计划资助项目(2009CB3020400);国家自然科学基金资助项目(60932002;61172062);江苏省自然科学基金资助项目(BK2011116)

摘　　要：认知无线电是解决频谱资源紧张,提高频谱利用率的有效方式之一。在保护授权用户不受过度干扰的前提下,为了充分利用基于OFDM的认知无线网络频谱资源,在分别考虑频谱检测可靠性和互干扰对资源分配影响的基础上,构建了一个联合功率控制和子载波分配的最优化目标。考虑算法实际可行性,提出了3个次优的基于最小资源代价增量的算法,即最小功率代价增量算法、最小干扰代价增量算法以及最小功率-干扰加权和代价增量算法。数值仿真表明,相比于现有的静态等功率资源分配,所提算法的吞吐量性能均有明显提升,其中,最小功率-干扰加权和代价增量算法整体性能最好。Cognitive radio（CR） is a promising technology to tackle the shortage of radio spectrum and improve the spectrum utilization.To maximize the network capacity of the orthogonal frequency division multiplexing（OFDM）-based cognitive radio networks while protecting the licensed users from excessive interference,an optimization objective of joint power control and sub-carrier assignment was developed,under the consideration of the spectrum detection reliability and mutual interference between the licensed users and the secondary users.To make the algorithm practically feasible,three suboptimal minimal resource cost increment-based algorithms were proposed,i.e.,minimal power cost increment algorithm,minimal interference cost increment algorithm and minimal power-interference weighted sum cost increment algorithm.Numerical results show that compared with the existing static equal power resource allocation algorithm,all the three proposed algorithms obtain significant network capacity improvement.Specifically,the minimal power-interference weighted sum cost increment-based algorithm performs the best in general.

关 键 词：正交频分多址 认知无线网络 资源分配 代价增量 频谱检测 互干扰 

分 类 号：TN92[电子电信—通信与信息系统]