Cross-Layer Resource Allocation in Wireless Communications
  • Release Date : 28 July 2010
  • Publisher : Academic Press
  • Genre : Technology & Engineering
  • Pages : 192 pages
  • ISBN 13 : 0080920888
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Download or read book entitled Cross-Layer Resource Allocation in Wireless Communications by author: Ana I. Perez-Neira which was release on 28 July 2010 and published by Academic Press with total page 192 pages . This book available in PDF, EPUB and Kindle Format. Cross-Layer Resource Allocation in Wireless Communications offers practical techniques and models for the design and optimisation of cross-layer resource allocation – one of the hottest topics in wireless communications. Resource allocation in wireless networks is traditionally approached either through information theory or communications networks. To break down the barriers between these distinct approaches, this book bridges the physical and network layers by providing cross-layer resource allocation techniques, models, and methodologies. Its unique approach allows optimisation of network resources and will enable engineers to improve signal quality, enhance network and spectrum utilization, increase throughput, and solve the problem of shadowing. Topics covered include different views of spectral efficiency, the role of spatial diversity, of delay in resource allocation, and possible extensions to OFDMA systems. This will be an ideal reference on cross-layer resource allocation between the PHY and MAC layers for R&D and network design engineers and researchers in universities dealing with sensor networks and cognitive systems. * Gives a full description of the characteristics of the PHY layer that promote efficient resource allocation strategies * Gives special emphasis on cross-layer design for spatial diversity schemes * Provides a framework for interaction between the PHY and MAC layers, their parameters of performance and their relationship * Presents resource allocation as a cross-layer design based on an optimization of MAC layer parameters with an accurate model of the PHY layer