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On Queue-Aware Power Control in Interfering Wireless Links: Heavy Traffic AsymptoticModelling and Application in QoS Provisioning

机译:关于干扰无线链路中的队列感知功率控制:大流量渐近建模及其在QoS设置中的应用

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摘要

In this work, we address the problem of power allocation for interfering transmitter-receiver pairs so that the probability that each queue length exceeds a specified threshold is fixed at a desired value. One application is satisfying QoS requirements in a dense cellular network. We deal with this problem using heavy traffic approximation techniques which lead to an asymptotic model of a (controlled) stochastic differential equation. The proposed power control strategy consists of allocating most of the power according to the states of the channel and a smaller fraction according to the queue lengths, for which we find a closed-form expression. We first consider a scenario where all channel realizations and queue lengths are known instantaneously to every transmitter. Then, the algorithm is extended to the case where only local SINR feedback is available and when queue length information is shared with delays among the transmitters. These models and results are also extended to the case where the transmitters are equipped with multiple antennas. Finally, the applicability in practical system settings are discussed and simulation results are provided to illustrate the performance of the proposed method.
机译:在这项工作中,我们解决了干扰发射器-接收器对的功率分配问题,以便每个队列长度超过指定阈值的概率固定为所需值。一种应用是在密集的蜂窝网络中满足QoS要求。我们使用高流量逼近技术来处理这个问题,该技术导致了(受控)随机微分方程的渐近模型。所提出的功率控制策略包括根据信道状态分配大部分功率,并根据队列长度分配较小的功率,为此我们找到了一个封闭形式的表达式。我们首先考虑一个场景,其中每个发射机都立即知道所有信道实现和队列长度。然后,将该算法扩展到仅本地SINR反馈可用并且队列长度信息在发送器之间共享的情况下。这些模型和结果也扩展到发射机配备多个天线的情况。最后,讨论了在实际系统设置中的适用性,并提供了仿真结果,说明了该方法的性能。

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