Machine learning integration in Communication system for efficient selection of signals-Reference-Cited by-同舟云学术

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Machine learning integration in Communication system for efficient selection of signals

Published:2023-05-12 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
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Author:

Bhardwaj Ankit¹,Rebelli Shashank²,Gehlot Anita³,Pant Kumud⁴,Gonzáles José Luis Arias⁵,A. Firos⁶

Affiliation:

1. University of Connecticut,The Math Company

2. SR University,Department of ECE,Warangal,Telangana,India

3. Uttaranchal University,Uttaranchal Institute of Technology,Dehradun,Uttarakhand,India

4. Graphic Era Deemed to be University,Department of Biotechnology,Dehradun,Uttarakhand,India

5. Pontifical Catholic University of Peru,Departamento of Business

6. Rajiv Gandhi University (A Central University),Department of Computer Science and Engineering,Doimukh,Arunachal Pradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10182388/10182370/10182417.pdf?arnumber=10182417

Reference14 articles.

1. Transmit Antenna Selection in MIMO Wiretap Channels: A Machine Learning Approach

2. Learningbased antenna selection for multicasting;ibrahim;Proc IEEE Int Workshop Signal Process Adv Wireless Commun,2018

3. Linear MMSE Precoding and Equalization for Network MIMO with Partial Cooperation

4. Machine Learning-Based Antenna Selection in Wireless Communications

5. Efficient minimumenergy scheduling with machine-learning based predictions for multiuser MISO systems;lei;Proc IEEE Int Conf Commun,2018

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