电力感知无线文件下载:一个受约束的不安宁的强盗方法

Xiaohan Wei, M. Neely
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引用次数: 3

摘要

本文研究了多用户文件下载系统中功率感知的吞吐量最大化问题。每个用户只有在前一个文件完成后才能接收新文件。每个用户的文件状态过程作为耦合的马尔可夫链,形成一个广义的不宁强盗系统。首先,推导了单用户情况下的最优算法。该算法在平均功率约束下实现吞吐量最大化。其次,将单用户算法扩展为求解多用户问题的低复杂度启发式算法。该启发式算法采用简单的在线索引策略,并通过仿真验证了其有效性。对于简单的3个用户的情况,最优解可以离线计算,启发式对于大范围的参数显示接近最优。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Power aware wireless file downloading: A constrained restless bandit approach
This paper treats power-aware throughput maximization in a multi-user file downloading system. Each user can receive a new file only after its previous file is finished. The file state processes for each user act as coupled Markov chains that form a generalized restless bandit system. First, an optimal algorithm is derived for the case of one user. The algorithm maximizes throughput subject to an average power constraint. Next, the one-user algorithm is extended to a low complexity heuristic for the multi-user problem. The heuristic uses a simple online index policy and its effectiveness is shown via simulation. For simple 3-user cases where the optimal solution can be computed offline, the heuristic is shown to be near-optimal for a wide range of parameters.
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