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This unique resource provides you with a practical approach to quickly learning the software-defined radio concepts you need to know for your work in the field. By prototyping and evaluating actual digital communication systems capable of performing over-the-air wireless data transmission and reception, this volume helps you attain a first-hand understanding of critical design trade-offs and issues. Moreover you gain a sense of the actual real-world operational behavior of these systems. With the purchase of the book, you gain access to several ready-made Simulink experiments at the publisher s website. This collection of laboratory experiments, along with several examples, enables you to successfully implement the designs discussed the book in a short period of time. These files can be executed using MATLAB version R2011b or later versions.
Software radio. --- Systems engineering. --- Digital communications. --- Communications, Digital --- Digital transmission --- Pulse communication --- Digital electronics --- Pulse techniques (Electronics) --- Telecommunication --- Digital media --- Signal processing --- Engineering systems --- System engineering --- Engineering --- Industrial engineering --- System analysis --- Radio, Reconfigurable --- Radio, Smart --- Radio, Software --- Reconfigurable radio --- SDR (Software-defined radio) --- Smart radio --- Software-based radio --- Software-defined radio --- Wireless communication systems --- Digital techniques --- Design and construction
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This book gives comprehensive and balanced coverage of the principles of cognitive radio communications, cognitive networks, and details of their implementation, including the latest developments in the standards and spectrum policy. Case studies, end-of-chapter questions, and descriptions of various platforms and test beds, together with sample code, give hands-on knowledge of how cognitive radio systems can be implemented in practice. Extensive treatment is given to several standards, including IEEE 802.22 for TV White Spaces and IEEE SCC41. Written by leading people in the field,
Cognitive radio networks. --- Ad hoc networks (Computer networks) --- MANETs (Computer networks) --- Mobile ad hoc networks --- Wireless ad hoc networks --- Computer networks --- Wireless communication systems --- Ad hoc cognitive networks (Wireless communication systems) --- Cognitive networks (Wireless communication systems) --- Self-organizing systems
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Based on the popular Artech House classic, Digital Communication Systems Engineering with Software-Defined Radio, this book provides a practical approach to quickly learning the software-defined radio (SDR) concepts needed for work in the field. This up-to-date volume guides readers on how to quickly prototype wireless designs using SDR for real-world testing and experimentation. This book explores advanced wireless communication techniques such as OFDM, LTE, WLA, and hardware targeting. Readers will gain an understanding of the core concepts behind wireless hardware, such as the radio frequency front-end, analog-to-digital and digital-to-analog converters, as well as various processing technologies. Moreover, this volume includes chapters on timing estimation, matched filtering, frame synchronization message decoding, and source coding. The orthogonal frequency division multiplexing is explained and details about HDL code generation and deployment are provided. The book concludes with coverage of the WLAN toolbox with OFDM beacon reception and the LTE toolbox with downlink reception. Multiple case studies are provided throughout the book. Both MATLAB and Simulink source code are included to assist readers with their projects in the field
Software radio. --- Radio, Reconfigurable --- Radio, Smart --- Radio, Software --- Reconfigurable radio --- SDR (Software-defined radio) --- Smart radio --- Software-based radio --- Software-defined radio --- Wireless communication systems --- Telecommunication technology
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This book gives comprehensive and balanced coverage of the principles of cognitive radio communications, cognitive networks, and details of their implementation, including the latest developments in the standards and spectrum policy. Case studies, end-of-chapter questions, and descriptions of various platforms and test beds, together with sample code, give hands-on knowledge of how cognitive radio systems can be implemented in practice. Extensive treatment is given to several standards, including IEEE 802.22 for TV White Spaces and IEEE SCC41. Written by leading people in the field, both at universities and major industrial research laboratories, this tutorial text gives communications engineers, R & D engineers, researchers, undergraduate and post graduate students a complete reference on the application of wireless communications and network theory for the design and implementation of cognitive radio systems and networks. Each chapter is written by internationally renowned experts, giving complete and balanced treatment of the fundamentals of both cognitive radio communications and cognitive networks, together with implementation details Extensive treatment of the latest standards and spectrum policy developments enables the development of compliant cognitive systems Strong practical orientation - through case studies and descriptions of cognitive radio platforms and testbeds - shows how "real world" cognitive radio systems and network architectures have been built Additional materials, slides, solutions to end-of-chapter problems, and sample codes, are available at www.elsevierdirect.com/companions Alexander M. Wyglinski is an Assistant Professor of Electrical and Computer Engineering at Worcester Polytechnic Institute (WPI), Director of the WPI Limerick Project Center, and Director of the Wireless Innovation Laboratory (WI Lab). Maziar Nekovee leads cognitive radio research at BT (British Telecom) and is also involved in leading a number of large EU and International collaborative R & D projects on cognitive radio networks and secondary/dynamic spectrum access. Y. Thomas Hou is an Associate Professor of Electrical and Computer Engineering at Virginia Polytechnic Institute and State University ("Virginia Tech"), Blacksburg, VA, USA.
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