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Radio Resource Management in Wireless Networks
An Engineering Approach

$93.99 (C)

  • Date Published: June 2017
  • availability: Available
  • format: Hardback
  • isbn: 9781107102491
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$ 93.99 (C)
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  • Do you need to design efficient wireless communications systems? This unique text provides detailed coverage of radio resource allocation problems in wireless networks and the techniques that can be used to solve them. Covering basic principles and mathematical algorithms, and with a particular focus on power control and channel allocation, you will learn how to model, analyze, and optimize the allocation of resources in both physical and data link layers, and for a range of different network types. Both established and emerging networks are considered, including CDMA and OFDMA wireless networks, relay-based wireless networks, and cognitive radio networks. Numerous exercises help you put knowledge into practice, and provide the tools needed to address some of the current research problems in the field. This is an essential reference whether you are a graduate student, researcher or industry professional working in the field of wireless communication networks.

    • Provides a comprehensive and systematic review of resource allocation problems in wireless networks and the techniques that can be used to solve them
    • Ideal as a supplementary text for graduate students taking courses on wireless networks, and as a one-stop reference for researchers and industry professionals working in the field of wireless network communications
    • Includes numerous practice problems and exercises, and is accompanied online by programming codes
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    Reviews & endorsements

    'This book provides an in-depth introduction to radio resource management (RRM) in wireless networks. Through various practical examples, it demonstrates how to model and analyze RRM problems and optimize wireless network performance. It is an outstanding textbook for graduate students and an excellent scholarly reference for engineers and researchers.' Geoffrey Li, Georgia Institute of Technology

    Customer reviews

    17th Oct 2024 by UName-844527

    Great book, but I cannot find online resources anymore. Still, information allows to tackle this subject like no other.

    Review was not posted due to profanity

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    Product details

    • Date Published: June 2017
    • format: Hardback
    • isbn: 9781107102491
    • length: 431 pages
    • dimensions: 253 x 177 x 24 mm
    • weight: 1kg
    • contains: 71 b/w illus. 21 tables 92 exercises
    • availability: Available
  • Table of Contents

    Part I. Basics of Wireless Networks:
    1. Introduction
    2. Wireless networks and resource allocation
    Part II. Techniques for Modeling and Analysis of Radio Resource Allocation Methods in Wireless Networks:
    3. Optimization techniques
    4. Game theory
    Part III. Physical Layer Resource Allocation in Wireless Networks:
    5. General system model and preliminary concepts
    6. Power control in cellular wireless networks
    7. Distributed joint power and admission control
    8. Joint power and admission control in cognitive radio networks
    9. Cell association in cellular networks
    Part IV. Link Layer Resource Allocation in Wireless Networks:
    10. Subcarrier/subchannel allocation in OFDMA networks
    11. Resource allocation in relay-based networks
    12. Channel allocation for infrastructure-based 802.11 WLANs
    Part V. Cross-Layer Modeling for Resource Allocation in Wireless Networks:
    13. Joint PHY/RLC design in cellular wireless networks.

  • Authors

    Ekram Hossain, University of Manitoba, Canada
    Ekram Hossain is a Professor in the Department of Electrical and Computer Engineering at the University of Manitoba, Canada and a fellow of the Institute of Electrical and Electronics Engineers. He is the co-author or co-editor of several books, including Wireless Device-to-Device Communications and Networks (with Lingyang Song, Dusit Niyato and Zhu Han, Cambridge, 2015) and Smart Grid Communications and Networking (with Zhu Han and H. Vincent Poor, Cambridge, 2012).

    Mehdi Rasti, Amir Kabir University of Technology
    Mehdi Rasti is an Assistant Professor in the Department of Computer Engineering and Information Technology at the Amirkabir University of Technology, Tehran. He previously worked at the Shiraz University of Technology, Iran and the KTH Royal Institute of Technology, Sweden.

    Long Bao Le, Université du Québec, Montréal
    Long Bao Le is an Associate Professor at the National Institute of Scientific Research, Université du Québec, Montréal.

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