Application of deep reinforcement learning techniques to optimise resource allocation in wireless communication Systems-Reference-Cited by-同舟云学术

Application of deep reinforcement learning techniques to optimise resource allocation in wireless communication Systems

Published:2024-05-09 Issue: Volume:6 Page:1-6
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Container-title:2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)
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Author:

Bhardwaj Ravindra¹,Kanth B. Sashi²,Joon Rakesh Kumar³,Navyata ⁴,Ahmad Khadri Syed Faizz⁵,Dineshnath G.⁶

Affiliation:

1. Dayalbagh Educational Institute (Deemed to be University),Department of Physics and Computer science,Agra,Uttar Pradesh,India,282005

2. Vignan’s Institute of Engineering for Women (A),Department of Electronics and Communication Engineering,Visakhapatnam,Andhra Pradesh,India,530049

3. Ganga Institute of Technology and Management, Kablana,Department of Electronics and Communication Engineering,Jhajjar,Haryana,India,124104

4. SRM Institute of Science and Technology, Delhi-NCR Campus,Department of CDC,Ghaziabad,Uttar Pradesh,India,201204

5. SRM University,Department of Computer Science,Amaravati,Andhra Pradesh,India,522502

6. KoneruLakshmaiah Education Foundation,Department of Computer Science Engineering,Vaddeswaram,Andhra Pradesh,522302

Publisher

IEEE

Link

Reference12 articles.

2. Deep Reinforcement Learning for Energy Efficient Routing and Throughput Maximization in Various Networks;M;(I-SMAC),2022

3. Deep reinforcement learning for wireless-powered communication in the Internet of Things;Zheng;IEEE Internet of Things Journal,2019

5. WPT: A Smart Magnetic Resonance Technology based Wireless Power Transfer System Design for Charging Mobile Phones;T;(IITCEE),2024