QoS and Energy Management in Cognitive Radio Network

Vishram Mishra received his B. Tech. degree in Computer Science and Engineering from Cochin University of Technology, India while Ph.D. degree in Computer Engineering from Nanyang Technological University, Singapore. He has authored multiple international journals and conferences. He has strong interest in the area of cognitive radio, computer networks and embedded systems.Currently he is pursuing his entrepreneurial journey in the area of advanced computer networks.Jimson Mathew is currently an Associate Professor in the Computer Science and Engineering Department, Indian Institute of Technology Patna, India. He received the Masters in computer engineering from Nanyang Technological University, Singapore and the Ph.D. degree in computer engineering from the University of Bristol, Bristol, U.K. He has held positions with the Centre for Wireless Communications, National University of Singapore, Bell Laboratories Research Lucent Technologies North Ryde, Australia, Royal Institute of Technology KTH, Stockholm, Sweden and Department of Computer Science, University of Bristol, UK. His research interests include fault-tolerant computing, computer arithmetic, hardware security, very large scale integration design andautomation, and design of nano scale circuits and systems and cognitive radio systems.Chiew-Tong Lau received the B.Eng. degree from Lakehead University in 1983, and the M.A.Sc. and Ph.D. degrees in electrical engineering from the University of British Columbia in 1985 and 1990 respectively. He is currently an Associate Professor in the School of Computer Science and Engineering, Nanyang Technological University, Singapore. His research interests include wireless communications systems and signal processing.

• Introduction.- Cognitive Radio Network and QoS provisioning.- QoS Provisioning Framework for Cognitive Radio Network.- Channel Selection Techniques in Cognitive Radio Network.- Energy Management in Cognitive Radio Network.- Media Access Scheme for Cognitive Radio Network.- Self-Coexistence among Cognitive Radio Networks.- Case Studies- QoS Framework for Cognitive radio network.