现代电子技术2016，Vol.39Issue(19)：6-10,15,6.DOI:10.16652/j.issn.1004-373x.2016.19.002
基于拉格朗日对偶的认知无线电网络最优资源分配算法
Lagrange duality based optimal source allocation algorithm of cognitive radio network
摘要
Abstract
Since the traditional opportunistic cognitive radio(CR)network is limited by the capacity,an optimal source al⁃location algorithm of cognitive radio network based on Lagrange duality is proposed. With the algorithm,a user is allocated to each subcarrier;the corresponding power of each subcarrier is determined with the standard convex optimization method,and only a user can obtain the positive power value;the Lagrange duality decomposition method is used to allocate the subcarrier and power in CR network simultaneously to increase the system total capacity to the maximum extent. The effectiveness of the proposed algorithm was verified by means of the long term real scene parameters evoluting and space channel propagation model. The experimental results show that the total capacity of the proposed algorithm is 9.3% higher than that of the sub⁃optimal re⁃source allocation algorithm,and 28.7% higher than that of the optimal resource allocation algorithm based on arbitrary input dis⁃tribution,the propose algorithm has fast convergence rate,and can solve the capacity problem in cognitive radio network re⁃source allocation effectively.关键词
认知无线电网络/资源分配/多输入多输出/正交频分复用接入/长期演进/拉格朗日对偶Key words
cognitive radio network/resource allocation/multi-input and multi-output/OFDM access/long-term evolu-tion/Lagrange duality分类
信息技术与安全科学引用本文复制引用
张亚梅,张国平..基于拉格朗日对偶的认知无线电网络最优资源分配算法[J].现代电子技术,2016,39(19):6-10,15,6.基金项目
国家自然科学基金项目（61503206）；河南省科技厅科技发展计划项目（132102310516）；平顶山学院青年基金项目 （）
