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Resource Management for Heterogeneous Networks in LTE Systems

  • Book
  • © 2014

Overview

Authors:
  1. Rose Qingyang Hu

    1. Department of Electrical and Computer Engineering, Utah State University, Logan, USA

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    You can also search for this author in PubMed   Google Scholar

  2. Yi Qian

    1. Department of Computer and Electronics Engineering, University of Nebraska-Lincoln, Omaha, USA

    View author publications

    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 (6 chapters)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. Introduction

    • Rose Qingyang Hu, Yi Qian
    Pages 1-5

  3. Heterogeneous Network Model and Preliminaries

    • Rose Qingyang Hu, Yi Qian
    Pages 7-16

  4. Mobile Association for Heterogeneous Networks

    • Rose Qingyang Hu, Yi Qian
    Pages 17-35

  5. Interference Management in Heterogeneous Networks with Fractional Frequency Reuse

    • Rose Qingyang Hu, Yi Qian
    Pages 37-51

  6. Radio Resource Allocation in Heterogeneous Networks

    • Rose Qingyang Hu, Yi Qian
    Pages 53-78

  7. Conclusion

    • Rose Qingyang Hu, Yi Qian
    Pages 79-80
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Keywords

About this book

This SpringerBrief provides an in-depth look at the key issues that affect the performance of heterogeneous networks and presents schemes that can effectively tackle these issues. In particular, this book discusses unbalanced traffic load among the macro and micro Base Stations (BSs) caused by the transmit power disparity, and a load-balancing based mobile association scheme to balance the traffic load among the macro and micro BSs. This book also introduces a fractional frequency reuse (FFR) scheme with proper power control to help reduce interference at the UEs which are most vulnerable to such intra-cell interference. The last section investigates radio resource allocation issues for heterogeneous networks with cooperative relays, and proposes a resource allocation framework that could achieve proportional fairness among the UEs. Numerical results are provided to demonstrate the effectiveness of the proposed solutions in tackling the problem and improving network performance. Resource Management for Heterogeneous Networks in LTE-A Systems is designed for researchers and professionals working in networking and resource management. The content is also valuable for advanced-level students in computer science and electrical engineering.

Authors and Affiliations

  • Department of Electrical and Computer Engineering, Utah State University, Logan, USA

    Rose Qingyang Hu

  • Department of Computer and Electronics Engineering, University of Nebraska-Lincoln, Omaha, USA

    Yi Qian

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