5G Physical Layer Resiliency Enhancements with NB-IoT Use Case Study
Author:
Affiliation:
1. Virginia Tech,Wireless@VT, Bradley Department of ECE,Blacksburg,VA
2. Virginia Tech National Security Institute,Blacksburg,VA
3. Lockheed Martin,Cherry Hill,NJ
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10017432/10017302/10017487.pdf?arnumber=10017487
Reference28 articles.
1. Role of machine learning and deep learning in securing 5G-driven industrial IoT applications
2. Intelligent Anti-Jamming Communication for Wireless Sensor Networks: A Multi-Agent Reinforcement Learning Approach
3. A Secure Telecommunication Link using Spread Spectrum Technique for 5G Applications
4. Joint Power Allocation and Beamforming for Non-Orthogonal Multiple Access (NOMA) in 5G Millimeter Wave Communications
5. Energy-Efficient Power Allocation in Multitier 5G Networks Using Enhanced Online Learning
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