Enhancing IEEE 802.11 Standard with Deep Reinforcement Learning for Optimal Channel Access

Author:

Da S. J. Cruz Sheila C.1,de Figueiredo Felipe A. P.1,Ouameur Messaoud Ahmed2

Affiliation:

1. Instituto Nacional de Telecomunicações - INATEL,Santa Rita do Sapucaí,Brazil

2. Université du Québec à Trois-Rivières – UQTR,Québec,Canada

Funder

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

IEEE

Reference24 articles.

1. Ns-3 meets openai gym: The playground for machine learning in networking research;gaw?owicz;Proceedings of the 22nd International ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems,2019

2. A survey of pomdp applications;cassandra;Working Notes of AAAI 1998 Fall Symposium on Planning with Partially Observable Markov Decision Processes,1998

3. The ns-3 Network Simulator

4. Continuous control with deep reinforcement learning;lillicrap,2015

5. Intelligent-CW: AI-based Framework for Controlling Contention Window in WLANs

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