University of Notre Dame
Browse

Modeling Interference in Uniformly Random Wireless Networks: Theory and Applications

Download (558.07 kB)
thesis
posted on 2007-12-13, 00:00 authored by Sunil Srinivasa
This thesis deals with the modeling of interference in a uniformly random wireless network with fading. The channel access mechanism considered is slotted ALOHA, and to obtain a fairly general set of results, the channel fading amplitude is taken to be Nakagami-m distributed. Under these settings, we obtain a closed-form expression for the moment generating function (MGF) of the interference power. The MGF is used to compute the interference moments, which accurately depict the asymptotic behavior of the network interference as the number of nodes increases. An important application of the interference characterization is the evaluation of the system outage performance.As another application, we study the problem of path loss exponent (PLE) estimation in large wireless networks, which is relevant to several important topics in communications such as localization, energy-efficient transmission and handoff initiation in cellular networks. We formulate three different algorithms for PLE estimation, each based on a specific network characteristic. We also provide simulation results to demonstrate the performance of the algorithms and quantify the estimation errors.

History

Date Modified

2017-06-05

Research Director(s)

Dr. Thomas E. Fuja

Committee Members

Dr. Panos Antsaklis Dr. Thomas E. Fuja

Degree

  • Master of Science in Electrical Engineering

Degree Level

  • Master's Thesis

Language

  • English

Alternate Identifier

etd-12132007-130211

Publisher

University of Notre Dame

Additional Groups

  • Electrical Engineering

Program Name

  • Electrical Engineering

Usage metrics

    Masters Theses

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC