arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1106.0969cs.NIcs.ITmath.IT
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动态OFDMA系统中长期比例公平QoS轮廓跟随子载波分配算法

Long-Term Proportional Fair QoS Profile Follower Sub-carrier Allocation Algorithm in Dynamic OFDMA Systems

Arijit Ukil, Jaydip Sen, Debasish Bera

摘要:

提出了动态OFDMA系统中的长期比例公平(LTPF)资源分配算法,该算法通过比例公平的增量优化和系统速率的最大化,为单个用户提供长期的QoS保证(主要是吞吐量需求满足),并长期跟踪每个用户的QoS分布。LTPF算法动态地将OFDMA子载波分配给用户,使得即使在异构业务条件下,也能长期实现单独的QoS要求以及维持用户之间的公平性。在这里,比保持单个用户的瞬时QoS,重点是要遵循所有用户的平均QoS配置文件在长期保持比例公平和多用户原始速率最大化的目标。与独立提供比例公平优化和原始速率最大化的算法相比,该算法试图同时提供两种优化,并通过利用移动无线环境的时间分集增益在长期计算时达到最优点。

英文摘要:

In this paper, Long-Term Proportional Fair (LTPF) resource allocation algorithm in dynamic OFDMA system is presented, which provides long-term QoS guarantee (mainly throughput requirement satisfaction) to individual user and follows every user's QoS profile at long-term by incremental optimization of proportional fairness and overall system rate maximization. The LTPF algorithm dynamically allocates the OFDMA sub-carriers to the users in such a way that in long-term the individual QoS requirement is achieved as well as fairness among the users is maintained even in a heterogeneous traffic condition. Here more than maintaining individual user's instantaneous QoS; emphasis is given to follow mean QoS profile of all the users in long-term to retain the objectives of both proportional fairness and multi-user raw rate maximization. Compared to the algorithms, which provide proportional fair optimization and raw-rate maximization independently, this algorithm attempts to provide both kinds of optimizations simultaneously and reach an optimum point when computed in long-term by exploiting the time diversity gain of mobile wireless environment.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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