On using Deep Reinforcement Learning to dynamically derive 5G New Radio TDD pattern - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Miloud Bagaa, Karim Boutiba, Adlen Ksentini. On using Deep Reinforcement Learning to dynamically derive 5G New Radio TDD pattern. In IEEE Global Communications Conference, GLOBECOM 2021, Madrid, Spain, December 7-11, 2021. pages 1-6, IEEE, 2021. [doi]

The following publications are possibly variants of this publication:

On enabling 5G Dynamic TDD by leveraging Deep Reinforcement Learning and O-RANKarim Boutiba, Miloud Bagaa, Adlen Ksentini. noms 2023: 1-3 [doi]

On enabling 5G dynamic TDD by leveraging deep reinforcement learning and O-RAN: demoKarim Boutiba, Miloud Bagaa, Adlen Ksentini. mobihoc 2022: 287-288 [doi]

runs on WebDSL