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Precoder Design for MU-MISO Transmission with Guaranteed QoS Constraints

机译:保证QoS约束的MU-MISO传输的预编码器设计

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We study the problem of designing transmit beamformer for maximizing the weight sum rate of a multi-user (MU)-multiple-input single-output (MISO) interference broadcast channel (IBC) with individual quality-of-service (QoS) constraints. The considered problem is known to be nonconvex and NP-hard indeed, and most of existing high-performance solutions are based on the centralized method. In this paper, we propose a distributed approach for the weighted sum rate maximization (WSRM) problem with QoS constraints by combining successive convex approximation (SCA) framework and the alternating directions method of multipliers (ADMM) technique. More specifically, the proposed algorithm extends a current centralized solution, where the SCA is used to arrive at an approximate convex problem at each step of the iterative procedure. The idea is that we apply the ADMM technique to solve the convex problem of the SCA based subproblem in a distributed manner. We also discuss some heuristic ways to accelerate the convergence rate of the proposed algorithm. Numerical simulations are provided to compare different models for both centralized and distributed algorithms.
机译:我们研究设计发送波束成形器的问题,以最大化具有单独服务质量(QoS)约束的多用户(MU)多输入单输出(MISO)干扰广播信道(IBC)的权重比。已知所考虑的问题确实是非凸的,并且是NP难题,并且大多数现有的高性能解决方案都基于集中式方法。在本文中,我们通过结合连续凸逼近(SCA)框架和乘数交替方向法(ADMM)技术,提出了一种具有QoS约束的加权总和率最大化(WSRM)问题的分布式方法。更具体地说,所提出的算法扩展了当前的集中式解决方案,在该解决方案中,SCA用于在迭代过程的每个步骤中得出近似凸问题。这个想法是我们应用ADMM技术以分布式方式解决基于SCA的子问题的凸问题。我们还讨论了一些启发式方法来加快所提出算法的收敛速度。提供了数值模拟以比较集中式和分布式算法的不同模型。

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