@article {25417,
	title = {Enabling Localized Peer-to-Peer Electricity Trading Among Plug-in Hybrid Electric Vehicles Using Consortium Blockchains},
	journal = {IEEE Transactions on Industrial Informatics},
	volume = {13},
	year = {2017},
	month = {05/2017},
	pages = {3154 - 3164},
	publisher = {IEEE},
	abstract = {We propose a localized Peer-to-Peer (P2P) electricity trading model for locally buying and selling electricity among Plug-in Hybrid Electric Vehicles (PHEVs) in smart grids. Unlike traditional schemes, that transport electricity over long distances and through complex electricity transportation meshes, our proposed model achieves demand response by providing incentives to discharging PHEVs to balance local electricity demand out of their own self-interests. However, since transaction security and privacy protection issues present serious challenges, we explore a promising consortium blockchain technology to improve transaction security without reliance on a trusted third party. A localized P2P Electricity Trading system with COnsortium blockchaiN (PETCON) method is proposed to illustrate detailed operations of localized P2P electricity trading. Moreover, the electricity pricing and the amount of traded electricity among PHEVs are solved by an iterative double auction mechanism to maximize social welfare in this electricity trading. Security analysis shows that our proposed PETCON improves transaction security and privacy protection. Numerical results based on a real map of Texas indicate that the double auction mechanism can achieve social welfare maximization while protecting privacy of the PHEVs.},
	keywords = {Consortium blockchain, decentralized energy trading, double auction, plug-in hybrid electric vehicles (PHEVs), security and privacy},
	issn = {1941-0050},
	doi = {10.1109/TII.2017.2709784},
	author = {Kang, Jiawen and Yu, Rong and Huang, Xumin and Maharjan, Sabita and Zhang, Yan and Hossain, Ekram}
}
@article {25824,
	title = {SD-MAC: Spectrum Database-Driven MAC Protocol for Cognitive Machine-to-Machine Networks},
	journal = {IEEE Transactions on Vehicular Technology},
	volume = {66},
	year = {2017},
	pages = {1456 - 1467},
	publisher = {IEEE},
	issn = {1939-9359},
	doi = {10.1109/TVT.2016.2555084},
	author = {Liu, Yi and Yu, Rong and Pan, Miao and Zhang, Yan and Xie, Shengli}
}
@article {25274,
	title = {Software Defined Energy Harvesting Networking for 5G Green Communications},
	journal = {IEEE Wireless Communications Magazine},
	volume = {24},
	year = {2017},
	pages = {38-45},
	publisher = {IEEE Wireless Communication Magazine},
	abstract = {Energy and spectrum resources play significant roles in fifth generation (5G) communication systems. In industrial applications of the 5G era, green communications are a great challenge for sustainable development of networks. Energy harvesting technology is a promising approach to prolong network lifetime. In energy harvesting networks, nodes may replenish energy from a mobile charger to overcome variations of renewable energy. In this article, energy-rich nodes are stimulated to upload surplus energy to the mobile charger, leading to a bidirectional energy flow. This creates a new paradigm that energy flows coexist with data flows, which gives rise to new problems on controlling the energy flows and the data flows. Software defined networking enables centralized control to optimize flow scheduling. We propose a Software Defined Energy Harvesting Network (SD-EHN) architecture for 5G green communications. In the SD-EHN, the data plane, the energy plane and the control plane are decoupled to support flexible energy scheduling and improve energy efficiency, thus to facilitate sustainability in energy harvesting networks. A scenario with a mobile charger acting as a mobile data collector is presented to introduce an energy trading model in SD-EHN. We use stochastic inventory theory to determine the optimal energy storage levels of the nodes. A Nash bargaining game is proposed to solve the benefit allocation problem for energy trading. Numerical results indicate that SD-EHN optimizes energy utilization and saves energy.},
	doi = {10.1109/MWC.2017.1600360},
	author = {Huang, Xumin and Yu, Rong and Kang, Jiawen and Gao, Yue and Maharjan, Sabita and Gjessing, Stein and Zhang, Yan}
}
@article {23727,
	title = {Balancing Power Demand through EV Mobility in Vehicle-to-Grid Mobile Energy Networks},
	journal = { IEEE Transactions on Industrial Informatics},
	volume = {12},
	year = {2015},
	month = {02/2016},
	pages = {79-90},
	publisher = {IEEE},
	author = {Yu, Rong and Zhong, Weifeng and Xie, Shengli and Yuen, Chau and Gjessing, Stein and Zhang, Yan}
}
@article {23726,
	title = {Cooperative Resource Management in Cloud-enabled Vehicular Networks},
	journal = {IEEE Transactions on Industrial Electronics},
	volume = {62},
	year = {2015},
	month = {12/2015},
	pages = {7938-7951},
	publisher = {IEEE},
	author = {Yu, Rong and Huang, X. and Kang, Jiawen and Ding, Jiefei and Maharjan, Sabita and Gjessing, Stein and Zhang, Yan}
}
@inproceedings {23831,
	title = {Dynamic Resource Pricing and Scalable Cooperation for Mobile Cloud Computing},
	journal = {The 15th IEEE International Conference on Scalable Computing and Communications (Best paper award)},
	year = {2015},
	month = {08/2015},
	publisher = {IEEE},
	abstract = {Mobile cloud computing is a new paradigm to improve the quality of mobile services, which has drawn considerable attentions in both industrial and academic fields. In this paper, we consider the resource management and sharing problems for radio and computing resources to support mobile applications in mobile cloud computing. In such an environment, service providers can cooperate to form coalition to share their idle resources with each other. We propose a coalition game model based on two-sided matching theory. The coalition game model efficiently reflects the scalable cooperation among the service providers for sharing their idle resources. As a result, the resources can be better utilized and the quality of service for users can be improved. The simulation results indicate that our scheme can optimize the resource utilization and significantlyimprove the quality of service of the users.},
	author = {Huang, Xumin and Yu, Rong and Kang, Jiawen and Ding, Jiefei and Maharjan, Sabita and Gjessing, Stein and Zhang, Yan}
}
@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 {23514,
	title = {MixGroup: Accumulative Pseudonym Exchanging for Location Privacy Enhancement in Vehicular Social Networks},
	journal = {IEEE Transactions on Dependable and Secure Computing},
	volume = {13},
	year = {2015},
	month = {01/2016},
	pages = {93-105},
	publisher = {IEEE},
	author = {Yu, Rong and Kang, Jiawen and Huang, X. and Xie, Shengli and Zhang, Yan and Gjessing, Stein}
}
@article {23515,
	title = {QoS Differential Scheduling in Cognitive Radio Based Smart Grid Networks: An Adaptive Dynamic Programming Approach},
	journal = {IEEE Transactions on Neural Networks and Learning Systems},
	volume = {27},
	year = {2015},
	month = {02/2016},
	pages = {435-443},
	publisher = {IEEE},
	author = {Yu, Rong and Zhong, W. and Xie, Shengli and Zhang, Yan}
}
@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 {23723,
	title = {Service Providers Competition and Cooperation in Cloud-based Software Defined Wireless Networks},
	journal = {IEEE Communications Magazine},
	volume = {53},
	year = {2015},
	month = {11/2015},
	pages = {134-140},
	publisher = {IEEE},
	author = {Ding, Jiefei and Yu, Rong and Zhang, Yan and Gjessing, Stein and Tsang, Danny}
}
@article {23495,
	title = {Toward Secure Energy Harvesting Cooperative Networks},
	journal = {IEEE Communications Magazine},
	volume = {53},
	year = {2015},
	month = {08/2015},
	pages = {114-121},
	publisher = {IEEE},
	abstract = {Energy harvesting cooperative networks is an emerging technology that has very high potential for a large variety of applications. However, the energy transfer capability may lead to unprecedented security challenges. In this paper, we will study energy security issues and the solutions in energy harvesting networks. We first identify typical energy related attacks and then propose defense solutions against these attacks. We also carry out security analysis and performance analysis to evaluate our proposed solutions. Simulation results have shownthat the proposed defense solutions are effective and efficient.},
	keywords = {cooperative relay, energy attack, Energy harvesting cooperative networks, security and defense},
	author = {Kang, Jiawen and Yu, Rong and Maharjan, Sabita and Zhang, Yan and Huang, Xumin and Xie, Shengli and Bogucka, Hanna and Gjessing, Stein}
}
@article {24500,
	title = {An efficient hybrid spectrum access algorithm in OFDM-based wideband cognitive radio networks},
	journal = {Neurocomputing},
	volume = {125},
	year = {2014},
	pages = {33-40},
	publisher = {Elsevier},
	author = {Yang, Chao and Fu, Yuli and Zhang, Yan and Yu, Rong and Liu, Yi}
}
@article {Simula.simula.3118,
	title = {Energy-Efficient Multimedia Transmissions Through Base Station Cooperation Over Heterogeneous Cellular Networks Exploiting User Behavior},
	journal = {IEEE Wireless Communications},
	volume = {21},
	number = {4},
	year = {2014},
	author = {Zhang, X. and Yu, Rong and Zhang, Yan and Gao, Y. and Im, M. and Cuthbert, L. and Wang, W.}
}
@article {Simula.simula.3114,
	title = {Enhancing Spectral-Energy Efficiency for LTE-Advanced Heterogeneous Networks: a Users Social Pattern Perspective},
	journal = {IEEE Wireless Communications},
	volume = {21},
	number = {2},
	year = {2014},
	author = {Zhang, X. and Zhang, Yan and Yu, Rong and Wang, W. and Guizani, M.}
}
@article {Simula.simula.3116,
	title = {A Semiblind Two-Way Training Method for Discriminatory Channel Estimation in MIMO Systems},
	journal = {IEEE Transactions on Communications},
	volume = {62},
	number = {7},
	year = {2014},
	author = {Yang, J. and Xie, Shengli and Zhou, Xing and Yu, Rong and Zhang, Yan}
}
@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.2416,
	title = {Toward Cloud-Based Vehicular Networks With Efficient Resource Management},
	journal = {IEEE Network Magazine},
	volume = {27},
	number = {5},
	year = {2013},
	pages = {48-55},
	author = {Yu, Rong and Zhang, Yan and Gjessing, Stein and Xia, W. and Yang, K.}
}
@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}
}
@inproceedings {Simula.simula.1768,
	title = {Hybrid Spectrum Access in Cognitive Neighborhood Area Networks in the Smart Grid},
	journal = {IEEE WCNC 2012},
	year = {2012},
	publisher = {IEEE},
	type = {Conference},
	author = {Yu, Rong},
	editor = {IEEE, }
}
@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.950,
	title = {Cognitive Radio Based Hierarchical Communications Infrastructure for Smart Grid},
	journal = {IEEE Network Magazine},
	volume = {25},
	number = {5},
	year = {2011},
	month = {Sept/Oct.},
	author = {Yu, Rong and Zhang, Yan and Gjessing, Stein and Chau, Y. and Xie, Shengli and Guizani, M.}
}
@article {Simula.simula.247,
	title = {Energy-Efficient and Reliability-Driven Cooperative Communications in Cognitive Body Area Networks},
	journal = {Mobile Networks and Applications},
	volume = {16},
	number = {6},
	year = {2011},
	pages = {733-744},
	author = {Yu, Rong and Zhang, Yan and Chen, G. and Huang, C. and Gao, R.}
}
@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.}
}
@article {Simula.simula.936,
	title = {Home M2M Networks: Architectures, Standards, and QoS Improvement},
	journal = {IEEE Communications Magazine},
	volume = {49},
	number = {4},
	year = {2011},
	month = {April},
	pages = {44-52},
	abstract = {It is envisioned that home networks will shift from the current machine-to-human communications to the machineto-machine (M2M) paradigm with the rapid penetration of embedded devices in home surroundings. In this article, we {fi}rst identify the fundamental challenges in home M2M networks. Then, we present the architecture of home M2M networks that is decomposed into three sub-areas depending on the radio service ranges and potential applications. Finally, we focus on the Quality-of-Service (QoS) management in home M2M networks, considering the increasing number of multimedia devices and growing visual requirements in a home area. Three standards for multimedia sharing and their QoS architectures are outlined. A cross-layer joint admission and rate control design is reported for QoS-aware multimedia sharing. This proposed strategy is aware of the QoS requirement and the resilience of multimedia services. Illustrative results indicate that the joint design is able to intelligently allocate radio bandwidth based on QoS demands in resource-constrained home M2M networks.},
	author = {Zhang, Yan and Yu, Rong and Yao, W. and Xie, Shengli and Xiao, Y. and Guizani, M.}
}
@article {Simula.simula.245,
	title = {Joint Optimization of Power, Packet Forwarding and Reliability in MIMO Wireless Sensor Networks},
	journal = {Mobile Networks and Applications},
	volume = {16},
	number = {6},
	year = {2011},
	pages = {760-770},
	abstract = {In this paper, we study the reliable packet forwarding in Wireless Sensor Networks (WSNs) with the multiple-input multiple-output (MIMO) and orthogonal space time block codes (OSTBC) techniques. The objective is to propose a cross-layer optimized forwarding scheme to maximize the Successful Transmission Rate (STR) while satisfying the given end-to-end power consumption constraint. The channel coding, power allocation, and route planning are jointly considered to significantly improve the transmission quality in terms of STR. The joint optimization design is formulated as a global deterministic optimization and also a local stochastic optimization issues. It is found that the stochastic optimization approach can effectively model, analyze, and solve the routing problem. In order to substantially reduce the implementation complication of the global optimization, we propose a low-complexity distributed scheme. The determination of relaying nodes and power budgets are decoupled, i.e. performing route planning and power allocation separately. We have shown that the result in the distributed scheme is able to provide sufficiently accurate predication of the global optimization. In addition, the proposed scheme can clearly reduce the Symbol Error Rate (SER) and achieve higher STR compared with two existing energy-efficient routing protocols, in which no joint design is considered.},
	doi = {10.1007/s11036-010-0265-3},
	author = {Yu, Rong and Zhang, Yan and Song, L. and Yao, W.}
}
@article {Simula.nd.457,
	title = {Sleeping Management for Scalable Topology Control in Wireless Sensor Networks},
	journal = {Wiley Wireless Communications and Mobile Computing},
	volume = {11},
	number = {8},
	year = {2011},
	month = {Aug.},
	author = {Yu, Rong and Zhang, Yan and Gao, R. and Song, L.}
}
@article {Simula.nd.453,
	title = {Cross-Layer Optimized Call Admission Control in Cognitive Radio Networks},
	journal = {Mobile Networks and Applications},
	volume = {15},
	number = {5},
	year = {2010},
	pages = {610-626},
	author = {Yu, Rong and Zhang, Yan and Huang, M. and Xie, Shengli}
}
@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.1194,
	title = {Joint Admission and Rate Control for Multimedia Sharing in Wireless Home Networks},
	journal = {Computer Communications},
	volume = {33},
	number = {14},
	year = {2010},
	pages = {1632-1644},
	author = {Yu, Rong and Zhang, Yan and Huang, C. and Gao, R.}
}
@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}
}
@article {Simula.ND.315,
	title = {QoS-Aware Packet Forwarding in MIMO Sensor Networks: a Cross-Layer Approach},
	journal = {Wiley Wireless Communications and Mobile Computing},
	volume = {10},
	number = {6},
	year = {2010},
	pages = {748-757},
	author = {Song, L. and Zhang, Yan and Yu, Rong and Yao, W.}
}
@inproceedings {Simula.ND.257,
	title = {Cross-Layer Optimized Routing for Wireless Sensor Networks Using Dynamic Programming},
	journal = {the IEEE International Conference on Communications (ICC), ICC 2009},
	year = {2009},
	publisher = {IEEE},
	type = {Conference},
	isbn = {978-1-4244-3435-0},
	author = {Song, L. and Zhang, Yan and Yu, Rong and Yao, W.},
	editor = {IEEE, }
}
@article {Simula.nd.459,
	title = {QoS Differentiated and Fair Packet Scheduling in Broadband Wireless Access Networks},
	journal = {EURASIP Journal on Wireless Communications and Networking},
	volume = {vol. 2009},
	number = {Article ID 482764},
	year = {2009},
	author = {Yu, Rong and Zhang, Yan and Xie, Shengli}
}
@inproceedings {Simula.ND.14,
	title = {Energy and QoS Aware Packet Forwarding in Wireless Sensor Networks},
	journal = {the IEEE International Conference on Communications (ICC), ICC 2007},
	year = {2007},
	pages = {3277-3282},
	publisher = {IEEE},
	type = {Conference},
	isbn = {1-4244-0353-7},
	author = {Yu, Rong and Zhang, Yan and Sun, Z. and Mei, S.},
	editor = {IEEE, }
}
