Distributed Backlog-Driven Power Control in Wireless Networking

A. Dua, N. Bambos
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引用次数: 6

Abstract

We address the problem of distributed power control for supporting packetized traffic in wireless ad hoc networks (e.g. 802.11 based wireless LANs). The interference experienced by a link coexisting with other links in a shared wireless medium is responsive to the actions of the transmitter on the link. Consequently, the evolution of seemingly independent queues at autonomously acting transmitters is tightly entangled through the shared wireless channel. Thus, an exact analysis of the distributed power control problem which also incorporates queuing dynamics is intractable. To establish a performance benchmark, we first design the optimal centralized backlog aware power control algorithm (Oracle) in a dynamic programming (DP) framework. We then propose a heuristic backlog aware distributed power control algorithm (BDD). The implementation of BDD is based on randomized selection from lookup tables which are computed offline at each transmitter. The computational complexity and memory requirements for BDD are independent of the network size and topology, making it attractive from a practical perspective. Experimental results demonstrate that BDD closely matches Oracle in performance and enhances system throughput by 20-30% compared to benchmark backlog insensitive power control algorithms (e.g. Foschini-Miljanic).
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无线网络中的分布式待机驱动功率控制
我们解决了分布式电源控制的问题,以支持无线自组织网络(例如基于802.11的无线局域网)中的分组流量。在共享无线介质中与其他链路共存的链路所经历的干扰响应于该链路上的发射机的动作。因此,在自主行动的发射机中,看似独立的队列在共享无线信道中紧密纠缠。因此,对包含排队动力学的分布式功率控制问题的精确分析是难以解决的。为了建立性能基准,我们首先在动态规划(DP)框架下设计了最优集中式积压感知功率控制算法(Oracle)。然后我们提出了一种启发式积压感知分布式功率控制算法(BDD)。BDD的实现基于查找表的随机选择,查找表在每个发送器离线计算。BDD的计算复杂度和内存需求与网络大小和拓扑结构无关,这使得它具有实用的吸引力。实验结果表明,与基准积压不敏感功率控制算法(如Foschini-Miljanic)相比,BDD在性能上与Oracle非常接近,并将系统吞吐量提高了20-30%。
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