Precoded Large Scale Multi‐User‐MIMO System Using Likelihood Ascent Search for Signal Detection-Reference-Cited by-同舟云学术

Precoded Large Scale Multi‐User‐MIMO System Using Likelihood Ascent Search for Signal Detection

Published:2022-12 Issue:12 Volume:57 Page:
ISSN:0048-6604
Container-title:Radio Science
language:en
Short-container-title:Radio Science

Author:

Bagadi Kalapraveen¹^ORCID,Ravikumar Chinthaginjala V.¹,Alibakhshikenari Mohammad²^ORCID,Challa Nagaraj³^ORCID,Rajesh Anbazhagan⁴,Aïssa Sonia⁵,Dayoub Iyad⁶⁷,Falcone Francisco⁸⁹,Limiti Ernesto¹⁰^ORCID

Affiliation:

1. School of Electronics Engineering Vellore Institute of Technology (VIT) Vellore India

2. Department of Signal Theory and Communications Universidad Carlos III de Madrid Leganés Madrid Spain

3. Department of Electronics and Communication Engineering Bapatla Engineering College Bapatla India

4. SASTRA University Thanjavur India

5. Institut National de la Recherche Scientifique (INRS) Montreal QC Canada

6. Université Polytechnique Hauts‐de‐France CNRS University of Lille ISEN Centrale Lille UMR 8520 Institut d'Électronique de Microélectronique et de Nanotechnologie (IEMN) Valenciennes France

7. INSA Hauts de France Valenciennes France

8. Department of Electric, Electronic and Communication Engineering Institute of Smart Cities Public University of Navarre Pamplona Spain

9. School of Engineering and Sciences Tecnologico de Monterrey Monterrey Mexico

10. Electronics Engineering Department University of Rome “Tor Vergata” Rome Italy

Publisher

American Geophysical Union (AGU)

Subject

Electrical and Electronic Engineering,General Earth and Planetary Sciences,Condensed Matter Physics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022RS007573

Reference38 articles.

1. Neural network-based multiuser detection for SDMA–OFDM system over IEEE 802.11n indoor wireless local area network channel models

2. Multiuser Detection in SDMA–OFDM Wireless Communication System Using Complex Multilayer Perceptron Neural Network

3. Recent trends in multiuser detection techniques for SDMA–OFDM communication system

4. Efficient complex radial basis function model for multiuser detection in a space division multiple access/multiple‐input multiple‐output–orthogonal frequency division multiplexing system

5. Minimum symbol error rate multiuser detection using an effective invasive weed optimization for MIMO/SDMA-OFDM system

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