Cooperative beamforming for multiple multicast groups over multiple resource blocks

J. Huschke, S. Kisseleff
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Abstract

We consider beamforming for multicasting the same data from a single or cooperatively from multiple base stations (BS) to several user equipments (UE). BSs have uncorrelated antennas. Beamforming can be applied separately for each physical layer resource block (PRB) of 180kHz bandwidth. The channel is almost flat within a PRB but frequency selective across the PRBs within the system bandwidth. FEC extends over the entire system bandwidth. For each UE a metric of aggregate per-PRB SINR is calculated. The beamforming goal is to maximize the minimum metric of all UEs. Two algorithms for determining the beamforming weights are considered, one iterative algorithm based on signal and interference gradients and an algorithm based on semidefinite relaxation (SDR). Performance evaluation employs a 3GPP network deployment and channel models. Results show that the gradient based algorithm outperforms SDR in the single BS scenario. In the cooperative multi-BS scenario the SDR algorithm performs better.
多资源块上多组播组的协同波束形成
我们考虑用波束成形将同一数据从单个或多个基站(BS)协同广播到多个用户设备(UE)。BSs的天线不相关。波束形成可以单独应用于180kHz带宽的每个物理层资源块(PRB)。在一个PRB内,信道几乎是平坦的,但在系统带宽内,PRB之间的频率是可选择的。FEC扩展到整个系统带宽。对于每个UE,计算每个prb的总SINR的度量。波束形成的目标是最大化所有ue的最小度量。考虑了两种确定波束形成权重的算法,一种是基于信号和干扰梯度的迭代算法,另一种是基于半定松弛的算法。性能评估采用3GPP网络部署和信道模型。结果表明,在单BS场景下,基于梯度的算法优于SDR。在多bs协同场景下,SDR算法的性能更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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