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Optimal Power Allocation and User Loading for Multiuser MISO Channels with Regularized Channel Inversion

机译:多用户mIsO信道的最优功率分配和用户加载   正则化信道反演

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摘要

We consider a multiuser system where a single transmitter equipped withmultiple antennas (the base station) communicates with multiple users each witha single antenna. Regularized channel inversion is employed as the precodingstrategy at the base station. Within this scenario we are interested in theproblems of power allocation and user admission control so as to maximize thesystem throughput, i.e., which users should we communicate with and what powershould we use for each of the admitted users so as to get the highest sum rate.This is in general a very difficult problem but we do two things to allow someprogress to be made. Firstly we consider the large system regime where thenumber of antennas at the base station is large along with the number of users.Secondly we cluster the downlink path gains of users into a finite number ofgroups. By doing this we are able to show that the optimal power allocationunder an average transmit power constraint follows the well-known water fillingscheme. We also investigate the user admission problem which reduces in thelarge system regime to optimization of the user loading in the system.
机译:我们考虑一个多用户系统,其中配备多个天线的单个发射机(基站)与多个用户通信,每个用户都使用单个天线。正规化信道反转被用作基站处的预编码策略。在这种情况下,我们对功率分配和用户准入控制的问题感兴趣,以便最大化系统吞吐量,即,我们应该与哪些用户通信以及我们应该为每个被准入的用户使用哪种功率,以便获得最高的总和率。通常,这是一个非常困难的问题,但是我们做了两件事,以便取得一定进展。首先,我们考虑了大型系统体制,其中基站的天线数量与用户数量一起很大;其次,我们将用户的下行链路路径增益聚类为有限数量的组。通过这样做,我们能够证明在平均发射功率约束下的最佳功率分配遵循众所周知的注水方案。我们还研究了用户准入问题,该问题在大型系统方案中减少了对系统中用户负载的优化。

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