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Stochastic Geometry Analysis of Multi-Antenna Wireless Networks

  • Xianghao Yu
  • Chang Li
  • Jun Zhang
  • Khaled B. Letaief

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Xianghao Yu, Chang Li, Jun Zhang, Khaled B. Letaief
    Pages 1-14
  3. Xianghao Yu, Chang Li, Jun Zhang, Khaled B. Letaief
    Pages 15-36
  4. Xianghao Yu, Chang Li, Jun Zhang, Khaled B. Letaief
    Pages 37-84
  5. Xianghao Yu, Chang Li, Jun Zhang, Khaled B. Letaief
    Pages 85-125
  6. Xianghao Yu, Chang Li, Jun Zhang, Khaled B. Letaief
    Pages 127-167
  7. Xianghao Yu, Chang Li, Jun Zhang, Khaled B. Letaief
    Pages 169-178

About this book

Introduction

This book presents a unified framework for the tractable analysis of large-scale, multi-antenna wireless networks using stochastic geometry. This mathematical analysis is essential for assessing and understanding the performance of complicated multi-antenna networks, which are one of the foundations of 5G and beyond networks to meet the ever-increasing demands for network capacity. Describing the salient properties of the framework, which makes the analysis of multi-antenna networks comparable to that of their single-antenna counterparts, the book discusses effective design approaches that do not require complex system-level simulations. It also includes various application examples with different multi-antenna network models to illustrate the framework’s effectiveness. 

Keywords

Wireless Networks Multi-Antenna Communications MIMO Stochastic Geometry Network Analysis

Authors and affiliations

  • Xianghao Yu
    • 1
  • Chang Li
    • 2
  • Jun Zhang
    • 3
  • Khaled B. Letaief
    • 4
  1. 1.Department of Electronic and Computer EngineeringHong Kong University of Science and TechnologyHong KongChina
  2. 2.Department of Electronic and Computer EngineeringHong Kong University of Science and TechnologyHong KongChina
  3. 3.Department of Electronic and Information EngineeringHong Kong Polytechnic UniversityKowloon, Hong KongChina
  4. 4.Department of Electronic and Computer EngineeringHong Kong University of Science and TechnologyHong KongChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-13-5880-7
  • Copyright Information Springer Nature Singapore Pte Ltd. 2019
  • Publisher Name Springer, Singapore
  • eBook Packages Computer Science
  • Print ISBN 978-981-13-5879-1
  • Online ISBN 978-981-13-5880-7
  • Buy this book on publisher's site
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