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Interference aware resource allocation for hybrid hierarchical wireless networks

机译:混合分层无线网络的干扰感知资源分配

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This paper addresses the problem of interference aware resource allocation for OFDMA based hybrid hierarchical wireless networks. We develop two resource allocation algorithms considering the impact of wireless interference constraints using a weighted S1NR conflict graph to quantify the interference among the various nodes: (1) interference aware routing using maximum concurrent flow optimization; and (2) rate adaptive joint subcar-rier and power allocation algorithm under interference and QoS constraints. We exploit spatial reuse to allocate subcarriers in the network and show that an intelligent reuse of resources can improve throughput while mitigating interference. We provide a sub-optimal heuristic to solve the rate adaptive resource allocation problem. We demonstrate that aggressive spatial reuse and fine tuned-interference modeling garner advantages in terms of throughput, end-to-end delay and power distribution.
机译:本文解决了基于OFDMA的混合分层无线网络的干扰感知资源分配问题。考虑到无线干扰约束的影响,我们使用加权的S1NR冲突图来开发两种资源分配算法,以量化各个节点之间的干扰:(1)使用最大并发流优化的干扰感知路由; (2)干扰和QoS约束下的速率自适应联合子载波和功率分配算法。我们利用空间复用来在网络中分配子载波,并表明资源的智能复用可以提高吞吐量,同时减少干扰。我们提供了次优启发式算法来解决速率自适应资源分配问题。我们证明了积极的空间重用和微调的干扰建模在吞吐量,端到端延迟和功率分配方面都具有优势。

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