Title | ||
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Energy Optimization in Ultra-Dense Radio Access Networks via Traffic-Aware Cell Switching |
Abstract | ||
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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 |
Name | Order | Citations | PageRank |
---|---|---|---|
Metin Ozturk | 1 | 0 | 0.34 |
Attai Ibrahim Abubakar | 2 | 3 | 2.46 |
João Pedro Battistella Nadas | 3 | 0 | 0.34 |
Rao Naveed Bin Rais | 4 | 173 | 9.69 |
Sajjad Hussain | 5 | 107 | 22.49 |
Muhammad Ali Imran | 6 | 2920 | 278.27 |