@article {23513,
	title = {Integrated Energy and Spectrum Harvesting for 5G Wireless Communications},
	journal = {IEEE Network},
	volume = {29},
	year = {2015},
	month = {05/2015},
	pages = {75-81},
	publisher = {IEEE},
	author = {Liu, Y. and Zhang, Yan and Yu, Rong and Xie, Shengli}
}
@article {23518,
	title = {Queuing-Based Energy Consumption Management for Heterogeneous Residential Demands in Smart Grid},
	journal = {IEEE Transaction on Smart Grid},
	year = {2015},
	publisher = {IEEE},
	author = {Liu, Y. and Yuen, C. and Yu, Rong and Zhang, Yan and Xie, Shengli}
}
@article {Simula.simula.2418,
	title = {An Efficient MAC Protocol With Selective Grouping and Cooperative Sensing in Cognitive Radio Networks},
	journal = {IEEE Transactions on Vehicular Technology},
	volume = {62},
	number = {8},
	year = {2013},
	pages = {3928-3941},
	author = {Liu, Y. and Xie, Shengli and Zhang, Yan and Yu, Rong and Yuen, C.}
}
@article {Simula.simula.1378,
	title = {Cognitive Machine-to-Machine Communications: Visions and Potentials for the Smart Grid},
	journal = {IEEE Network Magazine},
	volume = {26},
	number = {3},
	year = {2012},
	month = {May-June},
	pages = {6-13},
	abstract = {Based upon cognitive radio technology, we propose a new Machine-to-Machine (M2M) communications paradigm, namely Cognitive M2M (CM2M) communication. We first motivate the use of cognitive radio technology in M2M communications from different point of views, including technical, applications, industry support, and standardization perspectives. Then, our CM2M network architecture and cognitive machine model are presented and the CM2M systems coexistence in TV white spaces is discussed. After that, a CM2M communications architecture for the smart grid is presented, for which we also propose an energy-efficiency driven spectrum discovery scheme. Numerical results demonstrate significant energy saving and the reliability in supporting data transmissions in the smart grid.},
	author = {Zhang, Yan and Yu, Rong and Nekovee, M. and Liu, Y. and Xie, Shengli and Gjessing, Stein}
}
@article {Simula.simula.1370,
	title = {Secondary Users Cooperation in Cognitive Radio Networks: Balancing Sensing Accuracy and Efficiency},
	journal = {IEEE Wireless Communications},
	volume = {19},
	number = {2},
	year = {2012},
	pages = {30-37},
	abstract = {Cooperative spectrum sensing is a promising technique in cognitive radio networks by exploiting multi-user diversity to mitigate channel fading. Cooperative sensing is traditionally employed to improve the sensing accuracy while the sensing efficiency has been largely ignored. However, both sensing accuracy and efficiency have very significant impacts on the overall system performance. In this article, we first identify the fundamental trade-off between sensing accuracy and efficiency in spectrum sensing in cognitive radio networks. Then, we present several different cooperation mechanisms, including sequential, full-parallel, semi-parallel, synchronous, and asynchronous cooperative sensing schemes. The proposed cooperation mechanisms and the sensing accuracy-efficiency trade-off in these schemes are elaborated and analyzed with respect to a new performance metric achievable throughput, which simultaneously considers both transmission gain and sensing overhead. Illustrative results indicate that parallel and asynchronous cooperation strategies are able to achieve much higher performance, compared to existing and traditional cooperative spectrum sensing in cognitive radio networks.},
	author = {Yu, Rong and Zhang, Yan and Liu, Y. and Xie, Shengli and Song, L. and Guizani, M.}
}
@article {Simula.simula.940,
	title = {Energy-Efficient Spectrum Discovery for Cognitive Radio Green Networks},
	journal = {Mobile Networks and Applications},
	volume = {17},
	number = {1},
	year = {2011},
	pages = {64-74},
	publisher = {Springer},
	author = {Liu, Y. and Xie, Shengli and Zhang, Yan and Yu, Rong and Leung, V.}
}
@inproceedings {Simula.simula.255,
	title = {A Group-Based Cooperative Medium Access Control Protocol for Cognitive Radio Networks},
	journal = {Proceedings of the 18th International Workshop on Quality of Service (IWQoS), 2010},
	year = {2010},
	publisher = {IEEE Press},
	type = {Conference},
	isbn = {978-1-4244-5987-2},
	author = {Liu, Y. and Yu, Rong and Zhang, Yan and Xie, Shengli},
	editor = {B., Liu}
}
@article {Simula.simula.243,
	title = {A Parallel Cooperative Spectrum Sensing in Cognitive Radio Networks},
	journal = {IEEE Transactions on Vehicular Technology},
	volume = {59},
	number = {8},
	year = {2010},
	month = {Oct.},
	pages = {4079-4092},
	author = {Xie, Shengli and Liu, Y. and Zhang, Yan and Yu, Rong}
}
