摘要
对OFDMA系统中的跨层资源的分配问题进行研究。提出了一种基于自适应遗传算法的跨层资源分配算法,利用自适应遗传算法综合能力和全局搜索的特点,提高算法的全局搜索能力,很好地解决了跨层资源分配问题。在满足用户之间公平性的前提下,改进算法有效提高了系统频谱利用率及吞吐量,也缩短了用户平均等待时间,提高服务品质。
This paper researches on the adaptive resource allocation based on cross - layer in OFDMA system and proposes an adaptive genetic algorithm based on cross - layer. The adaptive genetic algorithm is characteristic of comprehensive ability and global search, so that it makes the cross-layer resource allocation betler solved. According to the experimental and simulation results, it is proved that the improved algorithm enhances the availability of frequency spectrum and throughput, shortens the user＇ s average wait time and improves the quality of service.
出处
《机械制造与自动化》
2012年第4期140-143,共4页
Machine Building & Automation
关键词
自适应遗传算法
资源分配
OFDMA
跨层
adaptive genetic algorithm
resource allocation
OFDMA
cross-layer
