Tao Jiang is currently a chair professor in the School of Electronics Information and Communications, Huazhong University of Science and Technology, Wuhan, P. R. China (PRC). He received the Ph.D. degree in information and communication engineering from Huazhong University of Science and Technology, Wuhan, PRC in April 2004. He has authored or co-authored over 200 technical papers in major journals and conferences and six books/chapters in the areas of communications and networks. He served or is serving as associate editor of some technical journals in communications, including IEEE Transactions on Signal Processing, IEEE Communications Surveys and Tutorials, IEEE Transactions on Vehicular Technology, and IEEE Internet of Things Journal. He is a recipient of the NSFC for Distinguished Young Scholars Award in PRC. Zhiqiang Wang currently works at State Grid Shaanxi Electric Power Company Telematics. He received a B.S. from Xian Jiaotong University, Xian, PRC in 2006, and M.S. and Ph.D. degrees from Huazhong University of Science and Technology, Wuhan, PRC in 2009 and 2012, respectively. Wang’s current research interests include the areas of energy management and smart grid communications. Yang Cao is currently an assistant professor in School of Electronics Information and Communications, Huazhong University of Science and Technology, Wuhan, PRC. He received Ph.D. and B.S. degrees in information and communications engineering at Huazhong University of Science and Technology, Wuhan, PRC in 2014 and 2009, respectively. His research interests include resource allocation for cellular device-to-device communications and smart grids.

Select Guide Rating

• Introduction. Transmission Slots Allocation in an Opportunistic Spectrum Access Network. Sensing Nodes Allocation in a Cognitive Radio Network with Cooperative Sensing. Transmission Power Allocation in a Cognitive Radio Network. White Space Allocation in a Cognitive Radio-Based High-Speed Vehicle Network. Sensing Channel Allocation in a Cognitive Radio Network for a Smart Grid.

Tao Jiang is currently a chair professor in the School of Electronics Information and Communications, Huazhong University of Science and Technology, Wuhan, P. R. China (PRC). He received the Ph.D. degree in information and communication engineering from Huazhong University of Science and Technology, Wuhan, PRC in April 2004. He has authored or co-authored over 200 technical papers in major journals and conferences and six books/chapters in the areas of communications and networks. He served or is serving as associate editor of some technical journals in communications, including IEEE Transactions on Signal Processing, IEEE Communications Surveys and Tutorials, IEEE Transactions on Vehicular Technology, and IEEE Internet of Things Journal. He is a recipient of the NSFC for Distinguished Young Scholars Award in PRC. Zhiqiang Wang currently works at State Grid Shaanxi Electric Power Company Telematics. He received a B.S. from Xian Jiaotong University, Xian, PRC in 2006, and M.S. and Ph.D. degrees from Huazhong University of Science and Technology, Wuhan, PRC in 2009 and 2012, respectively. Wang’s current research interests include the areas of energy management and smart grid communications. Yang Cao is currently an assistant professor in School of Electronics Information and Communications, Huazhong University of Science and Technology, Wuhan, PRC. He received Ph.D. and B.S. degrees in information and communications engineering at Huazhong University of Science and Technology, Wuhan, PRC in 2014 and 2009, respectively. His research interests include resource allocation for cellular device-to-device communications and smart grids.

Select Guide Rating

• Introduction. Transmission Slots Allocation in an Opportunistic Spectrum Access Network. Sensing Nodes Allocation in a Cognitive Radio Network with Cooperative Sensing. Transmission Power Allocation in a Cognitive Radio Network. White Space Allocation in a Cognitive Radio-Based High-Speed Vehicle Network. Sensing Channel Allocation in a Cognitive Radio Network for a Smart Grid.

Tao Jiang is currently a chair professor in the School of Electronics Information and Communications, Huazhong University of Science and Technology, Wuhan, P. R. China (PRC). He received the Ph.D. degree in information and communication engineering from Huazhong University of Science and Technology, Wuhan, PRC in April 2004. He has authored or co-authored over 200 technical papers in major journals and conferences and six books/chapters in the areas of communications and networks. He served or is serving as associate editor of some technical journals in communications, including IEEE Transactions on Signal Processing, IEEE Communications Surveys and Tutorials, IEEE Transactions on Vehicular Technology, and IEEE Internet of Things Journal. He is a recipient of the NSFC for Distinguished Young Scholars Award in PRC. Zhiqiang Wang currently works at State Grid Shaanxi Electric Power Company Telematics. He received a B.S. from Xian Jiaotong University, Xian, PRC in 2006, and M.S. and Ph.D. degrees from Huazhong University of Science and Technology, Wuhan, PRC in 2009 and 2012, respectively. Wang’s current research interests include the areas of energy management and smart grid communications. Yang Cao is currently an assistant professor in School of Electronics Information and Communications, Huazhong University of Science and Technology, Wuhan, PRC. He received Ph.D. and B.S. degrees in information and communications engineering at Huazhong University of Science and Technology, Wuhan, PRC in 2014 and 2009, respectively. His research interests include resource allocation for cellular device-to-device communications and smart grids.

Select Guide Rating

• Introduction. Transmission Slots Allocation in an Opportunistic Spectrum Access Network. Sensing Nodes Allocation in a Cognitive Radio Network with Cooperative Sensing. Transmission Power Allocation in a Cognitive Radio Network. White Space Allocation in a Cognitive Radio-Based High-Speed Vehicle Network. Sensing Channel Allocation in a Cognitive Radio Network for a Smart Grid.