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Joint Congestion Control and Distributed Scheduling for Throughput Guarantees in Wireless Networks

机译:无线网络中吞吐量保证的联合拥塞控制和分布式调度

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We consider the problem of throughput-optimal cross-layer design of wireless networks. We propose a joint congestion control and scheduling algorithm that achieves a fraction 1/d{sub}I(G) of the capacity region, where d{sub}I(G) depends on certain structural properties of the underlying connectivity graph G of the wireless network and also on the type of interference constraints. For a wide range of wireless networks, d{sub}I(G) can be upper bounded by a constant, independent of the number of nodes in the network. The scheduling element of our algorithm is the maximal scheduling policy. Although maximal scheduling policy has been considered in many of the previous works, the difficulties that arise in implementing it in a distributed fashion in the presence of interference have not been dealt with previously. In this paper, we propose two novel randomized distributed algorithms for implementing the maximal scheduling policy under the 1-hop and 2-hop interference models.
机译:我们考虑了无线网络的吞吐量最优跨层设计的问题。我们提出了一种联合拥塞控制和调度算法,该调度算法实现了容量区域的分数1 / d {子} I(g),其中d {sub} i(g)取决于底层连接图G的某些结构属性无线网络以及干扰约束的类型。对于广泛的无线网络,D {Sub} I(g)可以由常数上限,与网络中的节点的数量无关。我们的算法的调度元素是最大调度策略。尽管在以前的许多工作中已经考虑了最大调度政策,但在发生干扰存在下以分布式时尚实施它的困难尚未处理。在本文中,我们提出了两种新型随机分布式算法,用于在1跳和2跳干扰模型下实现最大调度策略。

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