Research Article
Coordinated Beamforming Optimization with Interference Suppressing for Massive MIMO Systems
@INPROCEEDINGS{10.1007/978-3-030-90196-7_20, author={Huayu Wang and Yaxuan Xing and Jing Lv and Yinghui Zhang}, title={Coordinated Beamforming Optimization with Interference Suppressing for Massive MIMO Systems}, proceedings={Artificial Intelligence for Communications and Networks. Third EAI International Conference, AICON 2021, Xining, China, October 23--24, 2021, Proceedings, Part I}, proceedings_a={AICON}, year={2021}, month={11}, keywords={Coordinated beamforming Energy efficiency Imperfect CSI Interference suppression Massive MIMO Throughput}, doi={10.1007/978-3-030-90196-7_20} }- Huayu Wang
Yaxuan Xing
Jing Lv
Yinghui Zhang
Year: 2021
Coordinated Beamforming Optimization with Interference Suppressing for Massive MIMO Systems
AICON
Springer
DOI: 10.1007/978-3-030-90196-7_20
Abstract
To meet the growing demand for high-data rate applications, massive multiple-input multiple-output (MIMO) has been identified to provide better coverage and throughput. Note that the energy efficiency and throughput of massive MIMO system is sensitive to pilot reuse factor, number of antennas and inter-cell interference, which should be accounted when designing a system. In this paper, dynamic division of area coordinated beamforming (DDA-CoBF) algorithm is proposed by suppressing inter-cell interference. Meanwhile, pilot reuse factor, number of antennas and channel state information are investigated for obtaining the optimal energy efficiency and throughput for massive MIMO system. Considering the actual application, we also especially analyze the systems based on imperfect CSI, proving the strong robustness for the proposed DDA-CoBF algorithm. Numerical analysis and simulation indicate that the proposed DDA-CoBF algorithm satisfies the higher energy efficiency and throughput. Moreover, this work provides a potential design scheme for large-scale MIMO multicell systems.
