一种基于平均时延最小化的跨层自适应算法
doi: 10.3724/SP.J.1146.2007.00463
A Cross-layer Adaptive Algorithm Based on the Minimal Mean Delay Time
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摘要: 该文研究了OFDM系统的跨层自适应问题。针对现有资源分配算法不能有效地兼顾频谱效率、公平性和QoS的问题,提出了一种综合考虑CSI和排队信息的基于平均时延最小化的跨层自适应资源分配算法。该算法利用经济学中的效用理论,将平均等待时间作为优化权重,充分保证了不同业务的QoS,通过效用函数保证了不同等待时间或者不同QoS的公平性。仿真结果显示,该算法的时延性能略好于LWDF算法,大大好于PF算法和EXP算法,并且很好地保证了时延的公平性,非常适合对时延敏感的通信。Abstract: The cross-layer adaptive problem for OFDM systems is researched. In order to overcome the problem that the present resource allocation algorithms do not consider frequency efficiency, impartiality and QoS simultaneously, a cross-layer adaptive algorithm based on the minimal mean delay time is proposed in this paper, which considers Channel State Information(CSI) and queue information simultaneously. The algorithm uses the utility theory in economics, and considers the mean delay time as optimal quantity to ensure QoS for different services. The algorithm also uses utility function to ensure the impartiality of different delay times and QoS. The simulation results show that the delay time of the proposed algorithm is slightly better than that of LWDF, and is very better than these of PF and EXP. Moreover, it can ensure the impartiality of delay time, and is applicable to the communications those are sensitive to delay time.
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