Research Article
Nature-Inspired Algorithms-Based Beamforming for Advanced Antenna Systems
@INPROCEEDINGS{10.1007/978-3-031-55993-8_8, author={Tong Van Luyen and Nguyen Thi Van Anh and Nguyen Van Cuong and Tran Hai Duong and Le Thi Trang}, title={Nature-Inspired Algorithms-Based Beamforming for Advanced Antenna Systems}, proceedings={Ad Hoc Networks. 14th EAI International Conference, AdHocNets 2023, Hanoi, Vietnam, November 10-11, 2023, Proceedings}, proceedings_a={ADHOCNETS}, year={2024}, month={3}, keywords={Beamforming ULA Bat Algorithm Multi-Verses Optimization Hybrid Particle Swarm Optimizer and Gray Wolf Optimizer}, doi={10.1007/978-3-031-55993-8_8} }- Tong Van Luyen
Nguyen Thi Van Anh
Nguyen Van Cuong
Tran Hai Duong
Le Thi Trang
Year: 2024
Nature-Inspired Algorithms-Based Beamforming for Advanced Antenna Systems
ADHOCNETS
Springer
DOI: 10.1007/978-3-031-55993-8_8
Abstract
In pursuit of enhancing the signal processing capabilities of antenna arrays for directed signal transmission and reception in spatial contexts, novel methodologies have been developed for advanced antenna systems. Leveraging cutting-edge technologies such as beamforming (BF) and multiple-input and multiple-output (MIMO) within smart antenna systems has emerged as a compelling strategy for elevating the quality of service, capacity, and coverage in mobile information systems. This paper presents a comparison, wherein algorithms inspired by natural processes are applied to amplitude-only controlled beamforming techniques. Subsequently, a comprehensive assessment is undertaken to discern the merits and demerits of the weight control methodologies employed. Specifically, this study delves into the application of bat algorithms, multi-verse optimization, hybrid particle swarm optimization, and gray wolf optimization in various scenarios.
