Title
Energy Optimization in Ultra-Dense Radio Access Networks via Traffic-Aware Cell Switching
Abstract
We propose a reinforcement learning-based cell switching algorithm to minimize the energy consumption in ultra-dense deployments without compromising the quality of service (QoS) experienced by the users. In this regard, the proposed method can intelligently learn which small cells (SCs) to turn off at any given time based on the traffic load of the SCs and the macro cell. To validate the idea, we...
Year
DOI
Venue
2021
10.1109/TGCN.2021.3056235
IEEE Transactions on Green Communications and Networking
Keywords
DocType
Volume
Switches,Computer architecture,Microprocessors,Heuristic algorithms,Quality of service,Energy consumption,Optimization
Journal
5
Issue
ISSN
Citations 
2
2473-2400
0
PageRank 
References 
Authors
0.34
0
6