Performance analysis of regression‐based machine learning models towards intelligent selection of <scp>MIMO</scp> configurations-Reference-Cited by-同舟云学术

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Performance analysis of regression‐based machine learning models towards intelligent selection of MIMO configurations

Published:2022-11-02 Issue:1 Volume:35 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Beeharry Yogesh¹^ORCID,Calchand Dujaya R.¹

Affiliation:

1. Department of Electrical and Electronic Engineering Faculty of Engineering University of Mauritius Réduit Mauritius

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.7415

Reference30 articles.

1. AlexiouGandBauchA “MIMO technologies for the wireless future ” in 2008IEEE 19th International Symposium on Personal Indoor and Mobile Radio Communications Cannes 2008.

2. Improving Channel Capacity in Indoor $4 \times 4$ MIMO Base Station Utilizing Small Bidirectional Antenna

3. HallDA “Understanding benefits of MIMO technology ”2009. [Online]. Available:https://www.mwrf.com/markets/article/21846554/understanding‐benefits‐of‐mimo‐technology. [Accessed 8 April 2020].

4. From theory to practice: an overview of MIMO space-time coded wireless systems

5. Fifty Years of MIMO Detection: The Road to Large-Scale MIMOs

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