Group-oriented beamforming for multi-stream multicasting based on quality-of-service requirements

Yan Gao, M. Schubert
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引用次数: 30

Abstract

We address the problem of multi-stream multicasting, where independent data streams are transmitted from a multi-antenna transmitter to several groups of independent single-antenna receivers. Multi-antenna multicasting allows forming spatial beams. By properly shaping the beam patterns, intergroup interference can be avoided and the SINR at all receivers can be jointly controlled. In addition, we assume that dirty paper preceding (DPC) is employed at the transmitter to further reduce the interference. We first consider the problem of minimizing the total power subject to individual SINR constraints. We propose a near-optimal algorithm based on semidefinite relaxation, combined with optimal power allocation. We also derive a low-complexity algorithm, which shows good performance in the low-SNR regime. Then, we consider the problem of maximizing the worst-case SINR subject to a total power constraint. We propose a near-optimal solution based on a bisection strategy
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基于服务质量要求的多流多播面向组的波束形成
我们解决了多流多播的问题,其中独立的数据流从多天线发射机传输到几组独立的单天线接收器。多天线多播允许形成空间波束。通过对波束方向图进行适当的整形,可以有效地避免群间干扰,共同控制各接收机的信噪比。此外,我们假设发射机采用脏纸前置(DPC),以进一步减少干扰。我们首先考虑受单个SINR约束的总功率最小化问题。我们提出了一种基于半定松弛和最优功率分配的近最优算法。我们还推导了一种低复杂度的算法,该算法在低信噪比条件下表现出良好的性能。然后,考虑在总功率约束下的最坏信噪比最大化问题。我们提出了一个基于二分策略的近最优解
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