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Cognitive Wireless Networks

  • Book
  • © 2015

Overview

Authors:
  1. Zhiyong Feng

    1. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China

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  2. Qixun Zhang

    1. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China

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    You can also search for this author in PubMed   Google Scholar

  3. Ping Zhang

    1. Key Laboratory of Universal Wireless Communications, Ministry of Edu, Beijing University of Posts and Telecommunications, Beijing, China

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    You can also search for this author in PubMed   Google Scholar

Part of the book series: SpringerBriefs in Electrical and Computer Engineering (BRIEFSELECTRIC)

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-vii
    Download chapter PDF

  2. Introduction

    • Zhiyong Feng, Qixun Zhang, Ping Zhang
    Pages 1-9

  3. Theoretical Study in CWNs

    • Zhiyong Feng, Qixun Zhang, Ping Zhang
    Pages 11-23

  4. Novel Architecture Model in CWNs

    • Zhiyong Feng, Qixun Zhang, Ping Zhang
    Pages 25-45

  5. Cognitive Information Awareness and Delivery

    • Zhiyong Feng, Qixun Zhang, Ping Zhang
    Pages 47-83

  6. Intelligent Resource Management

    • Zhiyong Feng, Qixun Zhang, Ping Zhang
    Pages 85-106

  7. TD-LTE Based CWN Testbed

    • Zhiyong Feng, Qixun Zhang, Ping Zhang
    Pages 107-121

  8. Standardization Progress

    • Zhiyong Feng, Qixun Zhang, Ping Zhang
    Pages 123-138

  9. Conclusion and Future Research Directions

    • Zhiyong Feng, Qixun Zhang, Ping Zhang
    Pages 139-140
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Keywords

About this book

This brief examines the current research in cognitive wireless networks (CWNs). Along with a review of challenges in CWNs, this brief presents novel theoretical studies and architecture models for CWNs, advances in the cognitive information awareness and delivery, and intelligent resource management technologies. The brief presents the motivations and concepts of CWNs, including theoretical studies of temporal and geographic distribution entropy as well as cognitive information metrics. A new architecture model of CWNs is proposed with theoretical, functional and deployment architectures supporting cognitive information flow and resource flow. Key technologies are identified to achieve the efficient cognitive information awareness and delivery. The brief concludes by validating the effectiveness of proposed theories and technologies using the CWNs testbed and discussing the importance of standardization practices. The context and analysis provided by this text are ideal for researchers and practitioners interested in wireless networks and cognitive information. Cognitive Wireless Networks is also valuable for advanced-level students studying resource management and networking.

Authors and Affiliations

  • School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China

    Zhiyong Feng, Qixun Zhang

  • Key Laboratory of Universal Wireless Communications, Ministry of Edu, Beijing University of Posts and Telecommunications, Beijing, China

    Ping Zhang

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