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Queue-proportional rate allocation with per-link information in multihop wireless networks

机译:多跳无线网络中具有按链路信息的队列比例速率分配

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The backpressure scheduling algorithm for multihop wireless networks is known to be throughput optimal, but it requires each node to maintain per-destination queues. Recently, a clever generalization of processor sharing has been proposed which is also throughput optimal, but which only uses per-link queues. Here, we propose another algorithm, called Queue-Proportional Rate Allocation (QPRA), which also only uses per-link queues and allocates service rates to links in proportion to their queue lengths, and employs the Serve-In-Random-Order queueing discipline within each link. Through fluid limit techniques and using a novel Lyapunov function, we show that the QPRA algorithm achieves the maximum throughput. We demonstrate an advantage of QPRA by showing that, for the so-called primary interference model, it is able to develop a low-complexity scheduling scheme which approximates QPRA and achieves a constant fraction of the maximum throughput region, independent of network size.
机译:已知用于多跳无线网络的背压调度算法是吞吐量最佳的,但它要求每个节点维护每个目标队列。近来,已经提出了对处理器共享的巧妙概括,其对于吞吐量也是最佳的,但是仅使用每个链路队列。在这里,我们提出了另一种称为队列比例速率分配(QPRA)的算法,该算法也仅使用每个链接队列,并根据其队列长度按比例向链接分配服务速率,并采用随机顺序服务规则在每个链接中。通过流体限制技术并使用新颖的Lyapunov函数,我们证明了QPRA算法实现了最大吞吐量。通过证明对于所谓的主干扰模型,我们可以证明QPRA的优势,它能够开发一种低复杂度的调度方案,该方案可以近似QPRA并实现最大吞吐量区域的恒定部分,而与网络规模无关。

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