摘要
针对多用户的OFDM系统,提出了一种联合媒体接入控制层和物理层的跨层资源分配算法。首先通过有限状态马尔科夫链分析用户的队列状态,然后根据用户的服务质量限制得到物理层的最大、最小速率限制,最后根据物理层时变的信道状态信息和媒体接入控制层所得到的限制速率来联合进行动态的子载波和功率资源分配。仿真实验表明,与没有最大速率约束的资源分配算法相比,所提算法不仅保证了不同用户的QoS要求,而且还降低了一定的功率,从而有效的提高了系统的性能。
As for the muhi-user OFDM system, a cross layer resource allocation algorithm which joints MAC layer and PHY layer is proposed. Firstly the proposed algorithm use a finite-state Markov chain to analyze the users' queue status. Secondly, the maximum rate and the minimum rate of PHY layer is ottined according to the users' QoS constrains. Finally, joint the time-varied channel state information of PHY layer and the former rate constraints to implement the dynamic sub-carrier and power resource allocation. The results show that Compared with the resource allocation algorithm without the maximum rate constraint, the proposed algorithm can not only meet users' QoS requirements but also can save some power, which just improves the performance of the system.
出处
《科学技术与工程》
北大核心
2013年第6期1473-1478,共6页
Science Technology and Engineering
基金
江苏高校优势学科建设工程资助项目("信息与通信工程")
江苏省高校自然科学研究项目(12KJB510014)资助
关键词
多用户OFDM
分组损耗
跨层优化
马尔可夫过程
资源分配
multi-user orthogonal frequency diversion multiplexingzation Markov process resource allocationpackets loss rate cross layer optimi-