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Fundamentals of Wireless Network Analysis

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

Abstract

In this chapter, the fundamentals of wireless network analysis via stochastic geometry are introduced. The Poisson network model is first presented, and key performance metrics in wireless networks are defined. By modeling a wireless network as a Poisson point process, the distribution of the aggregate interference is characterized using the Laplace transform, which is a key analytical step leading to tractable results of the signal-to-interference-plus-noise ratio (SINR) distribution. Sample results are presented for coverage and rate analysis in single-antenna cellular and ad hoc networks.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

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

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