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QoS-Aware Cooperative and Opportunistic Scheduling Exploiting Multi-user Diversity for Rate Adaptive Ad Hoc Networks

机译:QoS感知合作和机会调度利用速率自适应临时网络的多用户多样性

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The recent researches in wireless networks prompt the opportunistic transmission that exploiting channel fluctuations to improve the overall system performance. In wireless ad hoc networks, nodes may have packets destined to multiple neighboring nodes. We consider an opportunistic scheduling that takes advantage of time-varying channel among different receivers to improve system performance. Maximizing overall throughput and satisfying QoS requirements for transmission flows are two important objectives that need to be considered. In literature, many opportunistic scheduling policies for ad hoc networks have been proposed, in which each transmitter schedules the transmission independently. However, due to co-channel interference, the decisions of neighboring transmitters are highly correlated. Moreover, to achieve the QoS requirements, nodes have to be cooperative to share the common wireless channel. In this paper, we formulate the opportunistic scheduling problem taking the interaction among the neighboring transmitters into account. We present an optimal scheduling policy which maximizes the overall network performance while satisfying QoS requirements of individual flows. We also proposed COS, a distributed Cooperative and Opportunistic Scheduling algorithm, which modifies IEEE 802.11 protocol to implement the optimal scheduling policy by exchanging average channel conditions and QoS factors among 2-hop neighboring nodes. Simulation results indicate that our implementation achieves higher network throughput and provides better QoS support than existing work.
机译:最近无线网络的研究提示利用渠道波动来提高整体系统性能的机会主义传播。在无线ad hoc网络中,节点可以具有发往多个相邻节点的数据包。我们考虑了一个机会主义调度,它利用不同接收器之间的时变信道来提高系统性能。最大化整体吞吐量并满足传输流量的QoS要求是需要考虑的两个重要目标。在文献中,已经提出了许多用于ad Hoc网络的机会主义调度策略,其中每个发射机独立地调度传输。然而,由于共信道干扰,相邻发射机的决定高度相关。此外,为了实现QoS要求,节点必须是合作共享普通无线信道。在本文中,我们制定了邻近发射机之间的交互的机会调度问题。我们提出了一个最佳的调度策略,可以在满足各个流量的QoS要求的同时最大化整体网络性能。我们还提出了一种分布式协作和机会调度算法,其修改IEEE 802.11协议来实现通过在2跳相邻节点之间交换平均信道条件和QoS因子来实现最佳调度策略。仿真结果表明,我们的实现实现了更高的网络吞吐量,并提供比现有工作更好的QoS支持。

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