Fast Converging Algorithm for Weighted Sum Rate Maximization in Multicell MISO Downlink
Abstract
The problem of maximizing weighted sum rates in the downlink of a multicell environment is of considerable interest. Unfortunately, this problem is known to be NP-hard. For the case of multi-antenna base stations and single antenna mobile terminals, we devise a low complexity, fast and provably convergent algorithm that locally optimizes the weighted sum rate in the downlink of the system. In particular, we derive an iterative second-order cone program formulation of the weighted sum rate maximization problem. The algorithm converges to a local optimum within a few iterations. Superior performance of the proposed approach is established by numerically comparing it to other known solutions.
Cite
@article{arxiv.1211.1969,
title = {Fast Converging Algorithm for Weighted Sum Rate Maximization in Multicell MISO Downlink},
author = {Le-Nam Tran and Muhammad Fainan Hanif and Antti Tölli and Markku Juntti},
journal= {arXiv preprint arXiv:1211.1969},
year = {2012}
}
Comments
10 pages, 2 figures. The MATLAB code of the proposed algorithm can be downloaded from: https://sites.google.com/site/namletran/publication