Performance Evaluation of Loose Beamforming Using Direct-Binary Search in Massive MIMO Systems

被引：0

作者：

Hayashi, Yuta ^{[1
]}

Nishimura, Toshihiko ^{[1
]}

Sato, Takanori ^{[1
]}

Ogawa, Yasutaka ^{[1
]}

Ohgane, Takeo ^{[1
]}

机构：

[1] Hokkaido Univ, Fac Informat Sci & Technol, Grad Sch, Kita 14 Nishi 9,Kita Ku, Sapporo, Hokkaido 0600814, Japan

来源：

2024 INTERNATIONAL CONFERENCE ON COMPUTING, NETWORKING AND COMMUNICATIONS, ICNC | 2024年

关键词：

Loose beamforming; Massive MIMO; Antenna selection; Direct-binary search; Local optimal solutions;

D O I：

10.1109/CNC59896.2024.10555948

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

When considering beamforming in massive MIMO systems, the large number of antennas increases the amount of calculation at a base station. There is also a concern about the complexity of antenna circuits. Therefore, we have proposed loose beamforming in which the beam is formed by deciding whether or not to use the antenna for each user. However, an appropriate antenna selection method for the loose beamforming has not been established yet. In this study, we introduce a direct-binary search into the generation of the loose beamforming weights and evaluate the performance. Although the throughput is lower than one of other optimization methods such as a genetic algorithm, it can significantly reduce the computation time and can generate appropriate weights for a short time, thereby confirming the effectiveness of the proposed method.

引用

页码：323 / 328

页数：6

共 13 条

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[2]

[Anonymous], 2023, 5G Evolution and 6G, DOCOMO 6G White Paper

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