HYBRID BEAMFORMING FOR LARGE-SCALE MIMO SYSTEMS USING UPLINK-DOWNLINK DUALITY

被引：0

作者：

Hegde, Ganapati ^{[1
]}

Cheng, Yong ^{[1
]}

Pesavento, Marius ^{[1
]}

机构：

[1] Tech Univ Darmstadt, Commun Syst Grp, Darmstadt, Germany

来源：

2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2017年

关键词：

Hybrid beamforming; uplink-downlink duality; large-scale MIMO; power iteration method; MASSIVE MIMO; SINR CONSTRAINTS; WIRELESS SYSTEMS;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

We consider the problem of designing hybrid analog-digital beamformers in a downlink multi-user large-scale MIMO system. The objective is to minimize the total transmit power, while fulfilling SINR targets of all users. A dual virtual uplink problem is formulated for the original downlink problem based on the uplink-downlink duality theory, in order to de-couple the digital beamformers in the constraints. Furthermore, an optimal method and a sub-optimal iterative method are devised to compute solutions of the hybrid beamforming problem. Simulation results demonstrate that the iterative method yields nearly optimal performance, despite its remarkably low complexity.

引用

页码：3484 / 3488

页数：5

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