Performance Analysis and Deep Learning Assessment of Full-Duplex Overlay Cognitive Radio NOMA Networks Under Non-Ideal System Imperfections-Reference-Cited by-同舟云学术

Performance Analysis and Deep Learning Assessment of Full-Duplex Overlay Cognitive Radio NOMA Networks Under Non-Ideal System Imperfections

Published:2023-06 Issue:3 Volume:9 Page:664-682
ISSN:2332-7731
Container-title:IEEE Transactions on Cognitive Communications and Networking
language:
Short-container-title:IEEE Trans. Cogn. Commun. Netw.

Author:

Singh Chandan Kumar¹^ORCID,Upadhyay Prabhat Kumar¹^ORCID,Lehtomäki Janne J.²^ORCID

Affiliation:

1. Department of Electrical Engineering, Indian Institute of Technology Indore, Indore, India

2. Centre for Wireless Communications, University of Oulu, Oulu, Finland

Funder

Nokia Foundation Visiting Professor Grant and Visvesvaraya PhD Scheme of Ministry of Electronics & Information Technology (MeitY), Government of India, being implemented by Digital India Corporation

Academy of Finland 6Genesis Flagship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture

Link

http://xplorestaging.ieee.org/ielx7/6687307/10146027/10049150.pdf?arnumber=10049150

Reference44 articles.

1. On the Performance of NOMA-Assisted Overlay Multiuser Cognitive Satellite-Terrestrial Networks

2. Hybrid Full-Duplex/Half-Duplex Relaying with Transmit Power Adaptation

3. NOMA-Based Spectrum Leasing in Cognitive Radio Network: Power Optimization and Performance Analysis

4. Outage and Throughput Analysis of Full-Duplex Cooperative NOMA System With Energy Harvesting

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