基于GSO-SFLA算法的多中继OFDM子载波分配

发布时间：2018-03-22 08:37

本文选题：子载波分配　切入点：协作通信　出处：《中国科技论文》2017年02期 　论文类型：期刊论文

【摘要】：为研究多中继协作正交频分复用(orthogonal frequency division multiplexing,OFDM)系统子载波分配,提出了萤火虫算法与混合蛙跳算法相结合的联合优化算法(GSO-SFLA)来搜索最优子载波对。在总功率约束条件下,以最大化信息传输速率为优化目标,提出了子载波分配模型,给出了基于GSO-SFLA算法的子载波分配步骤,并仿真验证了所提出的子载波分配方案。仿真结果表明,与固定子载波算法和传统的萤火虫算法相比,所提出的基于GSO-SFLA子载波分配方案能获得较大的信息传输速率。
[Abstract]:In order to study subcarrier allocation of orthogonal frequency division multiplexing (OFDM) system with multi-relay cooperative orthogonal frequency division multiplexing (OFDM), a joint optimization algorithm (GSO-SFLAA), which combines firefly algorithm with hybrid leapfrog algorithm, is proposed to search for optimal subcarrier pairs. In order to maximize the transmission rate of information, a subcarrier allocation model is proposed, and the sub-carrier allocation steps based on GSO-SFLA algorithm are given, and the proposed subcarrier allocation scheme is verified by simulation. The simulation results show that, Compared with the fixed subcarrier algorithm and the traditional firefly algorithm, the proposed sub-carrier allocation scheme based on GSO-SFLA can achieve higher information transmission rate.
【作者单位】：贵州大学大数据与信息工程学院;贵州广播电视台播控传送中心;
【基金】：国家自然科学基金资助项目(61263005)
【分类号】：TN929.53

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