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Control of mobile communication systems with time-varying channels via stability methods

机译:通过稳定性方法控制时变信道的移动通信系统

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Consider the forward link of a mobile communications system with a single transmitter and connecting to K destinations via randomly varying channels. Data arrives in some random way and is queued according to the K destinations until transmitted. Time is divided into small scheduling intervals. Current systems can estimate the channel (e.g, via pilot signals) and use this information for scheduling. The issues are the allocation of transmitter power and/or time and bandwidth to the various queues in a queue and channel-state dependent way to assure stability and good operation. The decisions are made at the beginning of the scheduling intervals. Stochastic stability methods are used both to assure that the system is stable and to get appropriate allocations, under very weak conditions. The choice of Lyapunov function allows a choice of the effective performance criteria. The resulting controls are readily implementable and allow a range of tradeoffs between current rates and queue lengths. The various extensions allow a large variety of schemes of current interest to be covered. All essential factors are incorporated into a "mean rate" function, so that the results cover many different systems. Because of the non-Markovian nature of the problem, we use the perturbed Stochastic Lyapunov function method, which is well adapted to such problems. The method is simple and effective.
机译:考虑具有单个发射机并通过随机变化的信道连接到K个目的地的移动通信系统的前向链路。数据以某种随机方式到达,并根据K个目的地排队,直到发送出去。时间分为小的调度间隔。当前系统可以估计信道(例如,通过导频信号),并将该信息用于调度。问题在于以取决于队列和信道状态的方式将发射机功率和/或时间和带宽分配给各个队列,以确保稳定性和良好的操作。在调度间隔的开始做出决定。随机稳定性方法既用于确保系统稳定,又可在非常弱的条件下获得适当的分配。 Lyapunov函数的选择允许选择有效的性能标准。最终的控件易于实现,并允许在当前速率和队列长度之间进行一系列折衷。各种扩展允许涵盖当前感兴趣的多种方案。所有基本因素都被纳入“平均费率”功能中,因此结果涵盖了许多不同的系统。由于问题的非马尔可夫性质,我们使用扰动的随机Lyapunov函数方法,该方法非常适合此类问题。该方法简单有效。

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