| Title | Coordinated Multicell Multicast Beamforming Based on Manifold Optimization |
| Authors | Zhou, Longfei Zheng, Le Wang, Xiaodong Jiang, Wei Luo, Wu |
| Affiliation | Peking Univ, State Key Lab Adv Opt Commun Syst & Networks, Beijing 100871, Peoples R China. Columbia Univ, Dept Elect Engn, New York, NY 10027 USA. |
| Keywords | Multicast beamforming max-min fair manifold optimization Riemannian conjugate gradient ALGORITHMS |
| Issue Date | 2017 |
| Publisher | IEEE COMMUNICATIONS LETTERS |
| Citation | IEEE COMMUNICATIONS LETTERS.2017,21(7),1673-1676. |
| 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. |
| URI | http://hdl.handle.net/20.500.11897/472423 |
| ISSN | 1089-7798 |
| DOI | 10.1109/LCOMM.2017.2693374 |
| Indexed | SCI(E) |
| Appears in Collections: | 区域光纤通信网与新型光通信系统国家重点实验室 |
