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No regrets: Distributed power control under time-varying channels and QoS requirements

机译:不后悔:时变信道和QoS要求下的分布式功率控制

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The problem of power control in wireless networks consists of adjusting transmit power in order to achieve a target SINR level in the presence of noise and interference from other users. In this paper, we examine the performance of the seminal Foschini-Miljanic (FM) power control scheme in networks where channel conditions and users' quality of service (QoS) requirements vary arbitrarily with time (e.g. due to user mobility, fading, etc.). Contrary to the case of static and/or ergodic channels, the system optimum power configuration may evolve over time in an unpredictable fashion, so users must adapt to changes in the wireless medium (or their own requirements) “on the fly”, without being able to anticipate the system evolution. To account for these considerations, we provide a formulation of power control as an online optimization problem and we show that the FM dynamics lead to no regret in this dynamic context. Specifically, in the absence of maximum transmit power constraints, we show that the FM power control scheme performs at least as well as (and typically outperforms) any fixed transmit profile, irrespective of how the system varies with time; finally, to account for maximum power constraints that occur in practice, we introduce an adjusted version of the FM algorithm which retains the convergence and no-regret properties of the original algorithm in this constrained setting.
机译:无线网络中的功率控制问题包括调整发射功率,以便在存在噪声和其他用户干扰的情况下达到目标SINR级别。在本文中,我们研究了信道状态和用户的服务质量(QoS)要求随时间任意变化(例如由于用户移动性,衰落等)而变化的网络中,开创性的Foschini-Miljanic(FM)功率控制方案的性能。 )。与静态和/或遍历信道的情况相反,系统最佳功率配置可能会以不可预测的方式随时间变化,因此用户必须“随时随地”适应无线介质(或自己的要求)的变化。能够预测系统的发展。考虑到这些考虑因素,我们提供了一种将功率控制表述为在线优化问题的方法,并证明了在这种动态环境下,FM动力学不会给您带来任何遗憾。具体来说,在没有最大发射功率约束的情况下,我们证明了FM功率控制方案的性能至少与固定发射配置文件一样好(并且通常优于任何固定发射配置文件),而与系统如何随时间变化无关​​。最后,为了解决实际中出​​现的最大功率限制,我们介绍了FM算法的调整版本,该版本在这种受限设置下保留了原始算法的收敛性和无悔特性。

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