Modelling and Study of the Downlink Physical Layer in 5G NR Mobile Network
Author:
Affiliation:
1. Technical University of Gabrovo,Dept. of Communications Equipment and Technologies,Gabrovo,Bulgaria
2. International Hellenic University,Dept. of Electrical Engineering,Kavala,Greece
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9989537/9990053/09990892.pdf?arnumber=9990892
Reference15 articles.
1. Adaptive CQI and RI Estimation for 5G NR: A Shallow Reinforcement Learning Approach
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