Energy Optimization With Multi-Sleeping Control in 5G Heterogeneous Networks Using Reinforcement Learning
Author:
Affiliation:
1. LAAS-CNRS, Toulouse, France
2. American University of Science and Technology, Beirut, Lebanon
3. Acklio, Cesson-Sevigne, France
4. Centre Tecnològic Telecomunicacions Catalunya, Barcelona, Spain
5. IMT-Atlantique, Cesson Sevigne, France
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications
Link
http://xplorestaging.ieee.org/ielx7/4275028/10034788/09729881.pdf?arnumber=9729881
Reference37 articles.
1. Stochastic Analysis of Optimal Base Station Energy Saving in Cellular Networks with Sleep Mode
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3. A survey on sleep mode techniques for ultra-dense networks in 5G and beyond
4. Reinforcement Learning for Delay-Constrained Energy-Aware Small Cells with Multi-Sleeping Control
5. BOOST: Base Station on-off Switching Strategy for Green Massive MIMO HetNets
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