Learn to Schedule (LEASCH): A Deep reinforcement learning approach for radio resource scheduling in the 5G MAC layer

24 March 2020

Papers citing "Learn to Schedule (LEASCH): A Deep reinforcement learning approach for radio resource scheduling in the 5G MAC layer"

5 / 5 papers shown

Title
Learning Generalized Wireless MAC Communication Protocols via Abstraction Luciano Miuccio Salvatore Riolo S. Samarakoon D. Panno M. Bennis 19 17 0 06 Jun 2022
Deep Reinforcement Model Selection for Communications Resource Allocation in On-Site Medical Care Steffen Gracla Edgar Beck C. Bockelmann Armin Dekorsy 19 1 0 12 Nov 2021
Deep Reinforcement Learning for Wireless Resource Allocation Using Buffer State Information Eike-Manuel Bansbach Victor Eliachevitch Laurent Schmalen 33 4 0 27 Aug 2021
The Emergence of Wireless MAC Protocols with Multi-Agent Reinforcement Learning Mateus P. Mota Álvaro Valcarce J. Gorce J. Hoydis 25 39 0 16 Aug 2021
Contention Window Optimization in IEEE 802.11ax Networks with Deep Reinforcement Learning Witold Wydmański S. Szott 21 48 0 03 Mar 2020