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Multipath Routing and Max-Min Fair QoS Provisioning under Interference Constraints in Wireless Multihop Networks

机译:无线多跳网络中在干扰约束下的多路径路由和最大最小公平QoS设置

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摘要

In this paper, we investigate the problem of flow routing and fair bandwidth allocation under interference constraints for multihop wireless networks. We first develop a novel isotonic routing metric, RI^{3}M, considering the influence of interflow and intraflow interference. The isotonicity of the routing metric is proved using virtual network decomposition. Second, in order to ensure QoS, an interference-aware max-min fair bandwidth allocation algorithm, LMX:M^3F, is proposed where multiple paths (determined by using the routing metric) coexist for each user to the base station. In order to solve the algorithm, we develop an optimization formulation that is modeled as a multicommodity flow problem where the lexicographically largest bandwidth allocation vector is found among all optimal allocation vectors while considering constraints of interference on the flows. We compare our RI^{3}M routing metric and LMX:M^3F bandwidth allocation algorithm with various interference-based routing metrics and interference-aware bandwidth allocation algorithms established in the literature. We show that RI^{3}M and LMX:M^3F succeed in improving network performance in terms of delay, packet loss ratio, and bandwidth usage.
机译:在本文中,我们研究了多跳无线网络在干扰约束下的流路由和公平带宽分配问题。考虑到流间和流内干扰的影响,我们首先开发了一种新的等张路由度量RI ^ {3} M。使用虚拟网络分解证明了路由度量的等渗性。其次,为了确保QoS,提出了一种具有干扰意识的最大-最小公平带宽分配算法LMX:M ^ 3F,其中每个用户到基站的多条路径(通过使用路由度量确定)共存。为了解决该算法,我们开发了一种优化公式,该模型被建模为多商品流问题,其中在考虑所有流干扰的约束的同时,在所有最佳分配向量中找到了字典上最大的带宽分配向量。我们将RI ^ {3} M路由度量和LMX:M ^ 3F带宽分配算法与文献中建立的各种基于干扰的路由度量和可感知干扰的带宽分配算法进行了比较。我们显示RI ^ {3} M和LMX:M ^ 3F在延迟,丢包率和带宽使用方面成功地提高了网络性能。

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