Publication Type : Conference Paper
Publisher : IEEE
Source : 2023 3rd International Conference on Pervasive Computing and Social Networking (ICPCSN) Pages 1521-1527, 2023
Url : https://ieeexplore.ieee.org/abstract/document/10265985
Campus : Amritapuri
School : School of Engineering
Department : Electronics and Communication
Year : 2023
Abstract : Multiple Input Multiple Output (MIMO) communications is one of the main delved technologies in 5G. MIMO systems fused with beamforming antenna array technologies are anticipated to play a crucial part in coming generations of wireless communication systems. Beamforming is a technique in which it focuses wireless signals into a particular direction where the receiving device is present, rather than spreading the signal in all directions. Beamforming is used in tandem with MIMO to concentrate the ray on an individual user which enables advanced connection densities and minimizing interference. Adaptive beamforming is the beamforming technique in which the optimum weights are iteratively computed using complex algorithms grounded upon different criteria. This paper presents an analysis of distinct types of adaptive beamforming ways and opting the most effective algorithm which can be stationed in MIMO systems and propose an effective model to perform beamforming.
Cite this Research Publication : K. Bhavana, P. Krishna, A. K. Nair, M. P, R. Menon and P. Kiran, "Efficient Beamforming Techniques in MU-MIMO," 2023 3rd International Conference on Pervasive Computing and Social Networking (ICPCSN), Salem, India, 2023, pp. 1521-1527, doi: 10.1109/ICPCSN58827.2023.00253.