计算机工程与应用2017，Vol.53Issue(5)：121-127,7.DOI:10.3778/j.issn.1002-8331.1608-0079
基于CRQP的多小区OFDMA系统联合资源分配算法
CRQP based resource co-allocation algorithm for OFDMA cellular systems
摘要
Abstract
Aiming at the problem of maximizing system throughput of inter-cell interference in OFDMA multi-cell sys-tem, a cooperative rand quantum genetic algorithm particle swarm optimization algorithm is proposed for subcarriers and power co-allocation under the constraint of system power based on cooperative quantum genetic algorithm particle swarm optimization algorithm. Particle swarm optimization algorithm is used to optimize power allocation of subcarrier indepen-dently and improved quantum genetic algorithm is used to optimize user subcarrier allocation. At the same time, by using the stochastic cooperative strategy, the local optimal solution is avoided, and the global optimal solution is achieved. Simu-lation results show that the proposed algorithm can get more system throughput and higher resource utilization compared with the traditional fractional step algorithm.关键词
多小区正交频分多址(OFDMA)系统/协同随机量子粒子群算法/资源分配Key words
multi-cell Orthogonal Frequency Division Multiple Access(OFDMA)system/cooperative rand quantum ge-netic algorithm particle swarm optimization algorithm/resource allocation分类
信息技术与安全科学引用本文复制引用
欧阳龙,杨剑锋,徐俊,郭成城..基于CRQP的多小区OFDMA系统联合资源分配算法[J].计算机工程与应用,2017,53(5):121-127,7.基金项目
武汉大学人才类科研项目(No.413000016). （No.413000016）
