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2019 | OriginalPaper | Buchkapitel

A Multicast Beamforming Algorithm to Improve the Performance of Group Service for Multicell B-TrunC System

verfasst von : Zheming Zhang, Chengwen Zhang, Yutao Liu, Bin Wang

Erschienen in: Artificial Intelligence for Communications and Networks

Verlag: Springer International Publishing

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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.

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Metadaten
Titel
A Multicast Beamforming Algorithm to Improve the Performance of Group Service for Multicell B-TrunC System
verfasst von
Zheming Zhang
Chengwen Zhang
Yutao Liu
Bin Wang
Copyright-Jahr
2019
DOI
https://doi.org/10.1007/978-3-030-22968-9_11