Coordinated Multicell Multicast Beamforming Based on Manifold Optimization
Abstract
Multicast beamforming is a key technology for next-generation wireless cellular networks to support high-rate content distribution services. In this paper, the coordinated downlink multicast beamforming design in multicell networks is considered. The goal is to maximize the minimum signal-to-interference-plus-noise ratio of all users under individual base station power constraints. We exploit the fractional form of the objective function and geometric properties of the con-straints to reformulate the problem as a parametric manifold optimization program. Afterwards we propose a low-complexity Dinkelbach-type algorithm combined with adaptive exponential smoothing and Riemannian conjugate gradient iteration, which is guaranteed to converge. Numerical experiments show that the proposed algorithm outperforms the existing SDP-based method and DC-programming-based method and achieves near-optimal performance.
Cite
@article{arxiv.1707.03642,
title = {Coordinated Multicell Multicast Beamforming Based on Manifold Optimization},
author = {L. Zhou and L. Zheng and X. Wang and W. Jiang and W. Luo},
journal= {arXiv preprint arXiv:1707.03642},
year = {2017}
}
Comments
This paper is already available in IEEE Commmunication Letter. See http://ieeexplore.ieee.org/document/7898517/