基于GSO-SFLA算法的多中繼OFDM子載波分配
發(fā)布時間:2018-03-22 08:37
本文選題:子載波分配 切入點:協(xié)作通信 出處:《中國科技論文》2017年02期 論文類型:期刊論文
【摘要】:為研究多中繼協(xié)作正交頻分復用(orthogonal frequency division multiplexing,OFDM)系統(tǒng)子載波分配,提出了螢火蟲算法與混合蛙跳算法相結合的聯(lián)合優(yōu)化算法(GSO-SFLA)來搜索最優(yōu)子載波對。在總功率約束條件下,以最大化信息傳輸速率為優(yōu)化目標,提出了子載波分配模型,給出了基于GSO-SFLA算法的子載波分配步驟,并仿真驗證了所提出的子載波分配方案。仿真結果表明,與固定子載波算法和傳統(tǒng)的螢火蟲算法相比,所提出的基于GSO-SFLA子載波分配方案能獲得較大的信息傳輸速率。
[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.
【作者單位】: 貴州大學大數(shù)據(jù)與信息工程學院;貴州廣播電視臺播控傳送中心;
【基金】:國家自然科學基金資助項目(61263005)
【分類號】:TN929.53
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