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A Randomized Learning Scheduling Scheme for TDD-based Wireless Mesh Networks

机译:基于TDD的无线网状网络的随机学习调度方案

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Time division duplex based wireless mesh networks (TDD-based WMNs) have emerged as a crucial technology for wireless multihop networks and broadband wireless access (BWA). The resource management in TDD-based WMNs is important to the network performance and one of the main challenges is to provide an efficient distributed scheduling to achieve robust communication for all nodes. In this paper, a randomized learning scheduling scheme is proposed for TDD-based WMNs. The scheme is a random selection scheduling based on information learning. In each multi-frame, the node decides the available slots according to the slots information learning from its neighbor and selects a control slot from its available slots to transmit scheduling message. Numerical results show that the proposed scheduling scheme achieves lower collision probability than the scheme presented in IEEE 802.16 standard.
机译:基于时分双工的无线网状网络(基于TDD的WMNS)被出现为无线多彩网和宽带无线接入(BWA)的重要技术。基于TDD的WMN中的资源管理对网络性能和主要挑战之一是提供有效的分布式调度,以实现所有节点的强大通信。本文提出了一种基于TDD的WMN的随机学习调度方案。该方案是基于信息学习的随机选择调度。在每个多帧中,节点根据从邻居学习的时隙信息的可用时隙,并从其可用时隙中选择控制槽以发送调度消息。数值结果表明,所提出的调度方案比IEEE 802.16标准中呈现的方案实现更低的碰撞概率。

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