@inproceedings{69e561a007b84e5185bb2329c8310be7,
title = "A Multicast Beamforming Algorithm to Improve the Performance of Group Service for Multicell B-TrunC System",
abstract = "With the increasing demand for the command and dispatch service of private network communication system, broadband trunking communication (B-TrunC) system and its standards are improving steadily. In order to improve the performance of group service of B-TrunC system, we propose a system model with same-frequency multicell coordination for group users and a multicast beamforming algorithm based on the system model. The proposed system model combines multicell coordination and same-frequency scheduling. The multicast beamforming optimization problem is a non-deterministic polynomial hard (NP-hard) problem. The mathematical model of the proposed algorithm is obtained according to direction of departure (DOD) of group users and max-min fairness (MMF) principle; the optimal approximate solution of transmitting multicast beamforming weight vector, which maximizes the least received SNR of group users, is obtained on the basis of semidefinite relaxation (SDR). Theoretical analysis and simulation results show that the proposed multicast beamforming algorithm based on same-frequency multicell coordination can significantly improve the SNR of cell-edge users and increase the group user channel capacity. As the group user angle interval decreases or the base station antenna number increases, the performance of the proposed algorithm is further improved.",
keywords = "B-TrunC system, Group service, Multicast beamforming, Multicell coordination, Same-frequency scheduling",
author = "Zheming Zhang and Chengwen Zhang and Yutao Liu and Bin Wang",
note = "Publisher Copyright: {\textcopyright} ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019.; 1st EAI International Conference on Artificial Intelligence for Communications and Networks, AICON 2019 ; Conference date: 25-05-2019 Through 26-05-2019",
year = "2019",
doi = "10.1007/978-3-030-22968-9\_11",
language = "英语",
isbn = "9783030229672",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer Verlag",
pages = "120--131",
editor = "Shuai Han and Liang Ye and Weixiao Meng",
booktitle = "Artificial Intelligence for Communications and Networks - 1st EAI International Conference, AICON 2019, Proceedings",
address = "德国",
}