Convex Approximated Weighted Sum-Rate Maximization for Multicell Multiuser OFDM

Mirza Golam KIBRIA  Hidekazu MURATA  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E97-A   No.8   pp.1800-1805
Publication Date: 2014/08/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E97.A.1800
Type of Manuscript: LETTER
Category: Numerical Analysis and Optimization
Keyword: 
coordinated downlink beamforming,  sum-rate maximization,  convex approximation,  multicell MU-OFDM,  

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Summary: 
This letter considers the weighted sum-rate maximization (WSRMax) problem in downlink multicell multiuser orthogonal frequency-division multiplexing system. The WSRMax problem under per base station transmit power constraint is known to be NP-hard, and the optimal solution is computationally very expensive. We propose two less-complex suboptimal convex approximated solutions which are based on sequential parametric convex approximation approach. We derive provably faster convergent iterative convex approximation techniques that locally optimize the weighted sum-rate function. Both the iterative solutions are found to converge to the local optimal solution within a few iterations compared to other well-known techniques. The numerical results demonstrate the effectiveness and superiority of the proposed approaches.