Cognitive Communications: Distributed Artificial Intelligence (DAI), Regulatory Policy & Economics, Implementation
David Grace, Honggang ZhangIn this book, the authors present an overview of cognitive communications, encompassing both cognitive radio and cognitive networks, and also other application areas such as cognitive acoustics. The book also explains the specific rationale for the integration of different forms of distributed artificial intelligence into cognitive communications, something which is often neglected in many forms of technical contributions available today. Furthermore, the chapters are divided into four disciplines: wireless communications, distributed artificial intelligence, regulatory policy and economics and implementation. The book contains contributions from leading experts (academia and industry) in the field.
Key Features:
- Covers the broader field of cognitive communications as a whole, addressing application to communication systems in general (e.g. cognitive acoustics and Distributed Artificial Intelligence (DAI)
- Illustrates how different DAI based techniques can be used to self-organise the radio spectrum
- Explores the regulatory, policy and economic issues of cognitive communications in the context of secondary spectrum access
- Discusses application and implementation of cognitive communications techniques in different application areas (e.g. Cognitive Femtocell Networks (CFN)
- Written by experts in the field from both academia and industry
Cognitive Communications will be an invaluable guide for research community (PhD students, researchers) in the areas of wireless communications, and development engineers involved in the design and development of mobile, portable and fixed wireless systems., wireless network design engineer. Undergraduate and postgraduate students on elective courses in electronic engineering or computer science, and the research and engineering community will also find this book of interest. Content:
Chapter 1 Introduction to Cognitive Communications (pages 1–16): David Grace
Chapter 2 Cognitive Radio and Networks for Heterogeneous Networking (pages 17–52): Haesik Kim and Aarne Mammela
Chapter 3 Channel Assignment and Power Allocation Algorithms in Multi?Carrier?Based Cognitive Radio Environments (pages 53–92): Musbah Shaat and Faouzi Bader
Chapter 4 Filter Bank Techniques for Multi?Carrier Cognitive Radio Systems (pages 93–118): Yun Cui, Zhifeng Zhao, Rongpeng Li, Guangchao Zhang and Honggang Zhang
Chapter 5 Distributed Clustering of Cognitive Radio Networks: A Message?Passing Approach (pages 119–142): Kareem E. Baddour, Oktay Ureten and Tricia J. Willink
Chapter 6 Machine Learning Applied to Cognitive Communications (pages 143–162): Aimilia Bantouna, Kostas Tsagkaris, Vera Stavroulaki, Panagiotis Demestichas and Giorgos Poulios
Chapter 7 Reinforcement Learning for Distributed Power Control and Channel Access in Cognitive Wireless Mesh Networks (pages 163–193): Xianfu Chen, Zhifeng Zhao and Honggang Zhang
Chapter 8 Reinforcement Learning?Based Cognitive Radio for Open Spectrum Access (pages 195–230): Tao Jiang and David Grace
Chapter 9 Learning Techniques for Context Diagnosis and Prediction in Cognitive Communications (pages 231–256): Aimilia Bantouna, Kostas Tsagkaris, Vera Stavroulaki, Giorgos Poulios and Panagiotis Demestichas
Chapter 10 Social Behaviour in Cognitive Radio (pages 257–281): Husheng Li
Chapter 11 Regulatory Policy and Economics of Cognitive Radio for Secondary Spectrum Access (pages 283–317): Maziar Nekovee and Peter Anker
Chapter 12 Cognitive Radio Networks in TV White Spaces (pages 319–357): Maziar Nekovee and Dave Wisely
Chapter 13 Cognitive Femtocell Networks (pages 359–394): Faisal Tariq and Laurence S. Dooley
Chapter 14 Cognitive Acoustics: A Way to Extend the Lifetime of Underwater Acoustic Sensor Networks (pages 395–416): Lu Jin, Defeng (David) Huang, Lin Zou and Angela Ying Jun Zhang
Chapter 15 CMOS RF Transceiver Considerations for DSA (pages 417–464): Mark S. Oude Alink, Eric A. M. Klumperink, Andre B. J. Kokkeler, Gerard J. M. Smit and Bram Nauta
- Discusses application and implementation of cognitive communications techniques in different application areas (e.g. Cognitive Femtocell Networks (CFN)
- Explores the regulatory, policy and economic issues of cognitive communications in the context of secondary spectrum access
- Illustrates how different DAI based techniques can be used to self-organise the radio spectrum