TACT: A Transfer Actor-Critic Learning Framework for Energy Saving in Cellular Radio Access Networks

Recent works have validated the possibility of improving energy efficiency in radio access networks (RANs), achieved by dynamically turning on/off some base stations (BSs). In this paper, we extend the research over BS switching operations, which should match up with traffic load variations. Instead...

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Veröffentlicht in:	IEEE transactions on wireless communications 2014-04, Vol.13 (4), p.2000-2011
Hauptverfasser:	Rongpeng Li, Zhifeng Zhao, Xianfu Chen, Palicot, Jacques, Honggang Zhang
Format:	Artikel
Sprache:	eng
Schlagworte:	actor-critic algorithm Algorithm design and analysis Algorithms Applied sciences base stations Computer Science Energy conservation Energy consumption Energy efficiency Energy management energy saving Engineering Sciences Equipments and installations Exact sciences and technology green communications Heuristic algorithms Learning Learning (artificial intelligence) Loads (forces) Markov analysis Mobile radiocommunication systems Radio access networks Radiocommunications reinforcement learning Signal and Image processing sleeping mode Switches Switching Switching and signalling Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Teletraffic Traffic engineering Traffic flow transfer learning Transmission and modulation (techniques and equipments)
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