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Refining the impact of partially overlapping channels in wireless mesh networks through a cross-layer optimization model

机译:通过跨层优化模型优化无线网状网络中部分重叠信道的影响

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Although many works exist on the subject, the real impact of partially-overlapping channels (POCs) on the capacity of multi-radio wireless mesh networks is not clearly established yet. In this paper, we propose a mathematical programming model to evaluate accurately the improvement in throughput that could be achieved if all the adjacent radio channels were exploited. Compared to previous works, our model tackles the problem with a fine-granularity control of a wider set of radio and network parameters related to routing, dynamic channel assignment, rate adaptation, transmission power and link scheduling. Due to its complexity, our problem is solved using column generation. Furthermore, we propose a suboptimal fast procedure to solve the induced subproblem of link selection with joint channel assignment, rate adaptation and power control. While our numerical experimentations on random topologies show that employing POCs leads to similar throughput increase (i.e., around 11%) to some previous work, our main result is that this gain is found to be almost negligible for more realistic topologies.
机译:尽管在这个问题上有很多工作,但是还不清楚建立部分重叠的信道(POC)对多无线电无线网状网络容量的真正影响。在本文中,我们提出了一种数学编程模型来准确评估如果利用所有相邻无线电信道可以实现的吞吐量提高。与以前的工作相比,我们的模型通过对与路由,动态信道分配,速率适配,传输功率和链路调度有关的更广泛的无线电和网络参数进行精细粒度控制来解决该问题。由于其复杂性,我们使用列生成解决了我们的问题。此外,我们提出了一个次优快速过程,以解决联合信道分配,速率自适应和功率控制引起的链路选择子问题。尽管我们对随机拓扑的数值实验表明,使用POC可以使吞吐量增加一些(即大约11%),这与以前的工作相似,但我们的主要结果是发现对于更实际的拓扑而言,这种收益几乎可以忽略不计。

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