Low-Complexity MMSE Precoding for Coordinated Multipoint With Per-Antenna Power Constraint

Author

Tae Min Kim ; Fan Sun ; Paulraj, A.J.

Author_Institution

Dept. of Electr. Eng., Stanford Univ., Stanford, CA, USA

Volume

20

Issue

4

fYear

2013

fDate

Apr-13

Firstpage

395

Lastpage

398

Abstract

We propose a low-complexity minimum mean square error (MMSE) transmit filter design for the coordinated beamforming (CB) in the coordinated multipoint (CoMP) under the practical per-antenna power constraint (PAPC). The proposed design is based on the nonlinear Gauss-Seidel type algorithm in which the transmit filters for given receive filters are computed by iteratively updating the beamformer of each transmit antenna using simple closed-form expressions. The proposed approach can significantly reduce the overall complexity of the alternating optimization while preserving the optimality in the MSE sense.

Keywords

antenna arrays; array signal processing; filtering theory; iterative methods; mean square error methods; optimisation; precoding; receiving antennas; transmitting antennas; CB; CoMP; PAPC; coordinated beamforming; coordinated multipoint; iterative computation; low-complexity MMSE precoding; low-complexity MMSE transmit filter design; minimum mean square error; nonlinear Gauss-Seidel type algorithm; optimization; per-antenna power constraint; receive filter; simple closed-form expression; transmitting antenna; Algorithm design and analysis; Complexity theory; MIMO; Optimization; Signal processing algorithms; Signal to noise ratio; Vectors; Coordinated beamforming; MMSE; nonlinear Gauss-Seidel algorithm; per-antenna power constraint;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2013.2246152

Filename

6475287