Overview
- Editors:
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Ekram Hossain
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Department of Electrical & Computer Engineering, University of Manitoba, Winnipeg MB R3T 5V6, Canada
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Vijay Bhargava
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Department of Electrical & Computer Engineering, University of British Columbia, Vancouver V6T 1Z4, Canada
Presents a unified view of the cognitive radio technology (both theory and practice)
Offers a comprehensive treatment of state-of-the-art cognitive radio technology
Covers a wide range of topics starting from information-theoretic analysis to protocol design and optimization issues, and test-bed results
Includes contributions from world-class researchers in this area
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Table of contents (15 chapters)
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Front Matter
Pages I-XXVIII
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- Natasha Devroye, Patrick Mitran, Masoud Sharif, Saeed Ghassemzadeh, Vahid Tarokh
Pages 45-78
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- Khaled Ben Letaief, Wei Zhang
Pages 115-138
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- Michael B. Pursley, Thomas C. Royster
Pages 139-163
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- Rakesh Rajbanshi, Alexander M. Wyglinski, Gary J. Minden
Pages 165-188
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- Gaurav Bansal, Md. Jahangir Hossain, Vijay K. Bhargava
Pages 189-211
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- Hüseyin Arslan, Mustafa E. Şahin
Pages 213-230
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- Qing Zhao, Yunxia Chen, Ananthram Swami
Pages 271-301
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- Michael Maskery, Vikram Krishnamurthy, Qing Zhao
Pages 303-325
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- Qian Zhang, Juncheng Jia, Xuemin Sherman Shen
Pages 365-390
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- Dusit Niyato, Ekram Hossain
Pages 391-423
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- Maria-Gabriella Di Benedetto, Maria Domenica Di Benedetto, Guerino Giancola, Elena De Santis
Pages 425-438
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Back Matter
Pages 439-440
About this book
A Brief Journey through “Cognitive Wireless Communication Networks” Ekram Hossain, University of Manitoba, Winnipeg, Canada Vijay Bhargava, University of British Columbia, Vancouver, Canada Introduction Cognitive radio has emerged as a promising technology for maximizing the utili- tion of the limited radio bandwidth while accommodating the increasing amount of services and applications in wireless networks. A cognitive radio (CR) transceiver is able to adapt to the dynamic radio environment and the network parameters to maximize the utilization of the limited radio resources while providing ?exibility in wireless access. The key features of a CR transceiver are awareness of the radio en- ronment (in terms of spectrum usage, power spectral density of transmitted/received signals, wireless protocol signaling) and intelligence. This intelligence is achieved through learning for adaptive tuning of system parameters such as transmit power, carrier frequency, and modulation strategy (at the physical layer), and higher-layer protocol parameters. Development of cognitive radio technology has to deal with technical and pr- tical considerations (which are highly multidisciplinary) as well as regulatory - quirements. There is an increasing interest on this technology among the researchers in both academia and industry and the spectrum policy makers. The key enabling techniques for cognitive radio networks (also referred to as dynamic spectrum - cess networks) are wideband signal processing techniques for digital radio, advanced wireless communications methods, arti?cial intelligence and machine learning te- niques, and cognitive radio-aware adaptive wireless/mobile networking protocols.
Editors and Affiliations
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Department of Electrical & Computer Engineering, University of Manitoba, Winnipeg MB R3T 5V6, Canada
Ekram Hossain
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Department of Electrical & Computer Engineering, University of British Columbia, Vancouver V6T 1Z4, Canada
Vijay Bhargava
