DocumentCode
3015464
Title
MMSE Transceiver design for coordinated base station systems: Distributive algorithm
Author
Bogale, Tadilo Endeshaw ; Vandendorpe, Luc ; Chalise, Batu Krishna
Author_Institution
Commun. & Remote Sensing Lab., Univ. Catholique de Louvain, Louvain La Neuve, Belgium
fYear
2010
fDate
7-10 Nov. 2010
Firstpage
1222
Lastpage
1226
Abstract
This paper considers the joint transceiver design for multiple-input single-output (MISO) systems with coordinated base stations (BSs). We consider two problems; 1) minimizing the weighted sum of mean-square-error (MSE) with per BS antenna power constraint and 2) minimizing the total BS power with the target MSE and the per-antenna power constraints. To solve these problems, first, for fixed receivers, we propose a computationally efficient novel distributive algorithm to get the optimal BS precoders. The proposed algorithms use Lagrangian dual decomposition, modified matrix fractional minimization and an iterative method. Second, for fixed BS precoders, the receivers are updated by the minimum MSE (MMSE) criterion. These steps are repeated until convergence is achieved. All simulation results show that the solution of our proposed distributive algorithm fits to that of the centralized algorithm.
Keywords
MIMO communication; antenna arrays; convergence of numerical methods; iterative methods; least mean squares methods; matrix algebra; precoding; radio transceivers; Lagrangian dual decomposition; MMSE transceiver design; base station antenna power constraint; centralized algorithm; convergence; coordinated base station systems; distributive algorithm; iterative method; mean-square-error; modified matrix fractional minimization; multiple-input single-output systems; optimal BS precoders; Algorithm design and analysis; Antennas; Convergence; Minimization; Optimization; Receivers; Transceivers;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers (ASILOMAR), 2010 Conference Record of the Forty Fourth Asilomar Conference on
Conference_Location
Pacific Grove, CA
ISSN
1058-6393
Print_ISBN
978-1-4244-9722-5
Type
conf
DOI
10.1109/ACSSC.2010.5757725
Filename
5757725
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