Work

Coordinated Multicell Multicast Beamforming Based on Manifold Optimization

Year: 2017

Type: article

Abstract: Multicast beamforming is a key technology for next-generation wireless cellular networks to support high-rate content distribution services. In this letter, 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 constraints 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.

Source: IEEE Communications Letters

DOI: 10.1109/lcomm.2017.2693374

Authors: Longfei Zhou, Le Zheng, Xiaodong Wang, Wei Jiang, Wu Luo

Institutions: Peking University, State Key Laboratory of Advanced Optical Communication Systems and Networks, State Key Laboratory of Advanced Optical Communication Systems and Networks, Columbia University

Language: English

Topic: Advanced MIMO Systems Optimization

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funder: National Natural Science Foundation of China

Award: G4447036066