Interference Suppression Using Deep Learning: Current Approaches and Open Challenges
Author:
Affiliation:
1. Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, USA
2. Department of Cybersecurity Engineering, George Mason University, Fairfax, VA, USA
Funder
U.S. Air Force Research Laboratory
Lockheed Martin Corporation
National Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
https://ieeexplore.ieee.org/ielam/6287639/9668973/9802083-aam.pdf
Reference189 articles.
1. SEFDM over satellite systems with advanced interference cancellation
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4. Stochastic geometry and random graphs for the analysis and design of wireless networks
5. Techniques for Estimating the Bit Error Rate in the Simulation of Digital Communication Systems
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