DocumentCode
2374440
Title
Successive zero-forcing DPC with per-antenna power constraint: Optimal and suboptimal designs
Author
Tran, Le-Nam ; Juntti, Markku ; Bengtsson, Mats ; Ottersten, Björn
Author_Institution
Dept. Commun. Eng., Univ. of Oulu, Oulu, Finland
fYear
2012
fDate
10-15 June 2012
Firstpage
3746
Lastpage
3751
Abstract
This paper considers the precoder designs for successive zero-forcing dirty paper coding (SZF-DPC), a suboptimal transmission technique for MIMO broadcast channels (MIMO BCs). Existing precoder designs for SZF-DPC often consider a sum power constraint. In this paper, we address the precoder design for SZF-DPC with per-antenna power constraints (PAPCs), which has not been well studied. First, we formulate the precoder design as a rank-constrained optimization problem, which is generally difficult to handle. To solve this problem, we follow a relaxation approach, and prove that the optimal solution of the relaxed problem is also optimal for the original problem. Considering the relaxed problem, we propose a numerically efficient algorithm to find the optimal solution, which exhibits a fast convergence rate. Suboptimal precoder designs, with lower computational complexity, are also presented, and compared with the optimal ones in terms of achievable sum rate and computational complexity.
Keywords
MIMO communication; antenna arrays; broadcast channels; channel coding; computational complexity; optimisation; precoding; MIMO broadcast channels; MIMO-BC; PAPC; computational complexity; fast convergence rate; per-antenna power constraint; precoder designs; rank-constrained optimization problem; relaxation approach; suboptimal designs; suboptimal transmission technique; successive zero-forcing DPC; successive zero-forcing dirty paper coding; sum power constraint; Algorithm design and analysis; Computational complexity; Convergence; Iterative methods; MIMO; Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (ICC), 2012 IEEE International Conference on
Conference_Location
Ottawa, ON
ISSN
1550-3607
Print_ISBN
978-1-4577-2052-9
Electronic_ISBN
1550-3607
Type
conf
DOI
10.1109/ICC.2012.6364222
Filename
6364222
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