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Quality of Service and Resource Allocation in Communication Systems

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Practical Channel-Aware Resource Allocation

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Abstract

This chapter provides an overview of quality of service (QoS) requirements of the applications running on smart devices, dives into various mathematical modeling methodologies that quantify the aforesaid QoS concept, discusses the relevance of meeting QoS to enhance the users’ quality of experience (QoE), touches on the importance of resource allocation approaches to fulfill the QoS and thereby elevate the QoE, looks into prevalent modern mathematical foundations that can contribute to perform the aforementioned resource allocation, and expounds upon various factors that should be factored into the resource allocation methods to pragmatically improve the QoE by appropriately assigning resources to applications such that their QoS is met. This chapter also subsumes a literature survey on seminal and/or modern approaches to resource allocation, QoS, and their mathematical modeling. While this book introduces various methods and trends in resource allocation, it focuses on a mathematical modeling of resource allocation to improve QoS.

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Authors and Affiliations

  1. Department of Commerce, National Telecommunications and Information Administration, Washington, DC, USA

    Michael Ghorbanzadeh

  2. Electrical and Computer Engineering, University of Houston, Houston, TX, USA

    Ahmed Abdelhadi

Authors
  1. Michael Ghorbanzadeh
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  2. Ahmed Abdelhadi
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Ghorbanzadeh, M., Abdelhadi, A. (2022). Quality of Service and Resource Allocation in Communication Systems. In: Practical Channel-Aware Resource Allocation. Springer, Cham. https://doi.org/10.1007/978-3-030-73632-3_1

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  • DOI: https://doi.org/10.1007/978-3-030-73632-3_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-73631-6

  • Online ISBN: 978-3-030-73632-3

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