多通道多无线电无线网络中的最优组播

A. Gopinathan, Zongpeng Li, C. Williamson
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引用次数: 20

摘要

无线技术的最新进展使得为无线节点配备多个无线电变得越来越可行,从而允许每个无线电以正交、不重叠的传输频谱的形式利用信道分集。多信道运行减轻了干扰,但同时也对网络优化提出了新的挑战,即如何合理分配信道以实现有效的带宽利用。以往的研究主要集中在单播的信道分配优化上,而我们的研究主要集中在多播上,多播是一种有效的一对多数据传播机制。在信道分配是静态的前提下,建立了多通道多无线网络中最优组播模型。我们的模型采用网络编码作为多播机制的选择,并利用全向天线的广播特性来有效地利用带宽。在此基础上,将最优组播规划为线性整数规划。提出了贪婪信道分配方案和基于原对偶算法设计的改进迭代方案。通过仿真研究对两种方案的有效性进行了实证检验,并与求解整数规划及其线性规划松弛的结果进行了比较。最后,在假定传输频率不是可用频谱的固定分割的情况下,提出了一种备选的最优组播模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal multicast in multi-channel multi-radio wireless networks
Recent advances in wireless technology have made it increasingly feasible to equip wireless nodes with multiple radios, thereby allowing each radio to exploit channel diversity in the form of orthogonal, non-overlapping transmission spectrums. Multi-channel operation mitigates interference, but at the same time raises new challenges for network optimization, in terms of judicious channel assignment for efficient bandwidth utilization. While previous research mostly studies optimizing channel assignment for unicast, we focus instead on multicast, which is an efficient mechanism for one-to-many data dissemination. We derive a model for optimal multicast in multi-channel multi-radio wireless networks under the assumption that channel assignment is static. Our model employs network coding as the multicast mechanism of choice, and exploits the broadcast nature of omnidirectional antennas for efficient bandwidth utilization. Based on the model derived, we formulate optimal multicast as a linear integer program. Two accompanying solutions are proposed: a greedy channel assignment scheme and an improved iterative scheme inspired by primal-dual algorithm design. The effectiveness of the two schemes are empirically examined through simulation studies, and are compared to results obtained from solving the integer program as well as its linear programming relaxation. Finally, we present an alternate model for optimal multicast under the assumption that transmission frequencies are not fixed divisions of the usable spectrum.
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