东南大学学报（自然科学版）2017，Vol.47Issue(6)：1123-1128,6.DOI:10.3969/j.issn.1001-0505.2017.06.007
一种用于OFDMA认知网络的低复杂度资源分配算法
A low-complexity resource allocation algorithm for OFDMA cognitive networks
摘要
Abstract
For the power-limited orthogonal frequency division multiple access (OFDMA) cognitive networks,a low-complexity resource allocation algorithm is proposed,including subcarrier allocation and power allocation.In the subcarrier allocation,the algorithm assigns the subcarriers with the worst channel quality to the users at a higher priority.Then,the remaining subcarriers are sorted in descending order according to the variance of channel quality and assigned to the users.Thus,the remaining subcarriers will not be allocated to the users with the worst channel quality.In the power allocation,the judgment of the anti-interference threshold of the primary user is introduced into the traditional linear water-filling algorithm.This algorithm can maximize the throughput of secondary users and improve the anti-interference ability of the primary user simultaneously.The simulation resuits show that,compared with the existing algorithms,the proposed algorithm can effectively improve the channel quality for the subcarriers allocated to users.The throughput of secondary users is very close to the theoretical upper bound.The proposed algorithm has an acceptable faimess for primary users and low computational complexity.关键词
OFDMA/子载波分配/功率分配/用户吞吐量Key words
orthogonal frequency division multiple access (OFDMA)/subcarrier allocation/power allocation/user throughput分类
信息技术与安全科学引用本文复制引用
宋晓勤,刘叶,金慧,雷磊,胡静,宋铁成..一种用于OFDMA认知网络的低复杂度资源分配算法[J].东南大学学报（自然科学版）,2017,47(6):1123-1128,6.基金项目
国家自然科学基金资助项目(61372104,61572254)、研究生创新基地(实验室)开放基金资助项目(kfjj20170402). （61372104,61572254）
