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  3. Radio Resource Management in Wireless Networks
  • Cited by 13
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    • Publisher:
      Cambridge University Press
      Publication date:
      May 2017
      April 2017
      ISBN:
      9781316212493
      9781107102491
      DOI:
      https://doi.org/10.1017/9781316212493
      Dimensions:
      (247 x 174 mm)
      Weight & Pages:
      1kg, 431 Pages
      Dimensions:
      Weight & Pages:
      • Subjects:
      Engineering, Wireless Communications, Computer Science, Distributed, Networked and Mobile Computing
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    • Selected: Digital
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    Subjects:
    Engineering, Wireless Communications, Computer Science, Distributed, Networked and Mobile Computing
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    Book description

    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.

    Reviews

    '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

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