A survey of 5G network systems: trends and Deep Learning approaches
Author:
Affiliation:
1. Federal University of Amazonas and Center for R&D in Elec. and Inf. Tech. (UFAM/CETELI),AM,Brazil
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9868970/9868972/09869241.pdf?arnumber=9869241
Reference11 articles.
1. Deep Learning for Primary Sector Prediction in FR2 New Radio Systems
2. IoT-based smart homes: A review of system architecture, software, communications, privacy and security
3. Channel State Information Prediction for 5G Wireless Communications: A Deep Learning Approach
4. Feature-Based Deep Neural Networks for Short-Term Prediction of WiFi Channel Occupancy Rate
5. 5g vehicular network resource management for improving radio access through machine learning;tayyaba;IEEE Access,2020
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