Deep Learning Based Energy, Spectrum, and SINR-Margin Tradeoff Enabled Resource Allocation Strategies for 6G-Reference-Cited by-同舟云学术

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Deep Learning Based Energy, Spectrum, and SINR-Margin Tradeoff Enabled Resource Allocation Strategies for 6G

Published:2024 Issue: Volume:12 Page:74024-74044
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Pathak Vivek¹^ORCID,Chethan R.²,Pandya Rahul Jashvantbhai¹^ORCID,Iyer Sridhar³^ORCID,Bhatia Vimal⁴^ORCID

Affiliation:

1. Indian Institute of Technology Dharwad, Dharwad, Karnataka, India

2. Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India

3. Department of Electronics and Communication, KLE Technological University Dr. MSSCET, Belagavi, Karnataka, India

4. School of Electronic and Information Engineering, Soochow University, Suzhou, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10537167.pdf?arnumber=10537167

Reference56 articles.

1. The Road Towards 6G: A Comprehensive Survey

2. AI Inspired Intelligent Resource Management in Future Wireless Network

3. A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems

4. Deep Learning for Intelligent Wireless Networks: A Comprehensive Survey

5. The Roadmap to 6G: AI Empowered Wireless Networks

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