Average Sum MSE Minimization in the Multi-User Downlink With Multiple Power Constraints

被引：0

作者：

Gruendinger, Andreas ^{[1
]}

Joham, Michael ^{[1
]}

Pablo Gonzalez-Coma, Jose ^{[2
]}

Castedo, Luis ^{[2
]}

Utschick, Wolfgang ^{[1
]}

机构：

[1] Tech Univ Munich, Inst Signal Proc, D-80290 Munich, Germany

[2] Univ A Coruna, Dept Elect & Syst, La Coruna, Spain

来源：

CONFERENCE RECORD OF THE 2014 FORTY-EIGHTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS | 2014年

关键词：

uplink-downlink sum MSE duality; imperfect CSI; general power constraints; per-antenna constraints; OPTIMIZATION; DUALITY; CHANNEL;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We consider a sum mean square error (SMSE) based transceiver design for the multi-user downlink with multiple linear transmit power constraints. Since the multi-antenna transmitter has only imperfect channel state information (CSI), the average SMSE is minimized via an alternating optimization (AO). For fixed equalizers, the average SMSE minimizing precoders are found via an uplink-downlink SMSE duality. The precoder update therewith transforms to an uplink max-min average SMSE problem, i.e., a minimum mean square error (MMSE) equalizer design and an outer worst-case noise search. This dual problem is optimally solved, e.g., by a gradient projection approach, and strong duality is shown.

引用

页码：1279 / 1285

页数：7

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