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Wireless Personal Communications

A New Optimization Technique in Massive MIMO and LSAS using Hybrid Architecture and Channel Estimation Algorithm for 5G Networks

  • 24-04-2021
Published in:
Authors
Javaid A. Sheikh
Farhana Mustafa
Sumina Sidiq
Shabir A. Parah
G. Mohiuddin Bhat
Published in
Wireless Personal Communications | Issue 1/2021

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Abstract

The article introduces a new optimization technique for Massive MIMO and LSAS in 5G networks, leveraging a hybrid architecture and channel estimation algorithm to address the challenges of high hardware complexity and channel estimation. The proposed method minimizes the number of RF chains, optimizes precoding using a best-first search algorithm, and significantly improves spectral efficiency and SINR. The research addresses key issues such as hardware complexity and channel estimation, providing a practical solution for future 5G and 6G networks. The article presents a detailed system model, precoding scheme, and algorithm, along with simulation results that demonstrate the superior performance of the proposed technique compared to conventional methods.
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Title
A New Optimization Technique in Massive MIMO and LSAS using Hybrid Architecture and Channel Estimation Algorithm for 5G Networks
Authors
Javaid A. Sheikh
Farhana Mustafa
Sumina Sidiq
Shabir A. Parah
G. Mohiuddin Bhat
Publication date
24-04-2021
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 1/2021
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-021-08489-x
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