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arXiv · 1707.03642

Coordinated Multicell Multicast Beamforming Based on Manifold Optimization

L. Zhou·L. Zheng·X. Wang·W. Jiang·W. Luo
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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.

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L. Zhou, L. Zheng, X. Wang, W. Jiang, W. Luo. 2017-07-12. Coordinated Multicell Multicast Beamforming Based on Manifold Optimization. https://doi.org/10.1109/lcomm.2017.2693374

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