M/G/1 queue with repeated inhomogeneous vacations applied to ieee 802.16e power saving
SIGMETRICS '08 Proceedings of the 2008 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
IEEE 802.22: the first cognitive radio wireless regional area network standard
IEEE Communications Magazine
Interference coordination and cancellation for 4G networks
IEEE Communications Magazine
Interworking in heterogeneous wireless networks: comprehensive framework and future trends
IEEE Wireless Communications
LTE-advanced: next-generation wireless broadband technology
IEEE Wireless Communications
Docitive networks: an emerging paradigm for dynamic spectrum management
IEEE Wireless Communications
Mobile data offloading: how much can WiFi deliver?
Proceedings of the 6th International COnference
Cell zooming for cost-efficient green cellular networks
IEEE Communications Magazine
Apples-to-apples: a framework analysis for energy-efficiency in networks
ACM SIGMETRICS Performance Evaluation Review
IEEE Transactions on Information Theory
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
Energy efficiency gains using VHOs in heterogeneous networks
IFIP'12 Proceedings of the 2012 international conference on Networking
Energy efficient management framework for multihop TDMA-based wireless networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Energy-efficient communication has sparked tremendous interest in recent years as one of the main design goals of future wireless Heterogeneous Networks (HetNets). This has resulted in paradigm shift of current operation from data oriented to energy-efficient oriented networks. In this paper, we propose a framework for green communications in wireless HetNets. This framework is cognitive in holistic sense and aims at improving energy efficiency of the whole system, not just one isolated part of the network. In particular, we propose a cyclic approach, named as energy-cognitive cycle, which extends the classic cognitive cycle and enables dynamic selection of different available strategies for reducing the energy consumption in the network while satisfying the quality of service constraints.