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Interference issues in modern communications systems
Descriptive
TypeOfResource
Text
TitleInfo
(ID = T-1)
Title
Interference issues in modern communications systems
Identifier
ETD_2828
Identifier
(type = hdl)
http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056513
Language
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eng
Genre
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theses
Subject
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Topic
Electrical and Computer Engineering
Subject
(ID = SBJ-2);
(authority = ETD-LCSH)
Topic
Telecommunication systems
Subject
(ID = SBJ-3);
(authority = ETD-LCSH)
Topic
Electromagnetic interference
Subject
(ID = SBJ-4);
(authority = ETD-LCSH)
Topic
Ad hoc networks (Computer networks)
Subject
(ID = SBJ-5);
(authority = ETD-LCSH)
Topic
Cognitive radio networks
Abstract
(type = abstract)
A critical component of a communication system's design is the analysis of potential electromagnetic interference from within the system and from outside sources. Through physical and mathematical modeling, we can quantify the impact of interference on key performance metrics of the system and pursue an optimal design based on certain interference constraints. In this dissertation, we investigate several interference related issues in three emerging technologies: Broadband over Power Line (BPL), Dynamic Spectrum Access (DSA), and Mobile Ad Hoc Networks (MANET). In the BPL study, we analyze the radio interference from a BPL system operating between 2 MHz and several tens of MHz. An overhead medium-voltage power line is modeled as a 3-phase set of parallel wires above a lossy earth. Both a near-exact solution and a closed-form far-field approximation are presented. The maximum allowable excitation voltage vs. frequency is computed by assuming compliance with FCC field strength limits. These calibration results are used to study the interference to both terrestrial and airborne services, using noise floor increase as a metric of interference severity. We also quantify the relationship between BPL capacity and BPL interference. In the DSA study, we propose a solution to spectrum policy enforcement in DSA networks involving the detection of unauthorized spectrum usage. We formulate the anomalous usage detection problem using statistical significance testing. The detection problem is investigated considering two cases, characterized by whether the authorized (primary) transmitter is mobile or fixed. We propose a detection scheme for each case, respectively, by exploiting the spatial pattern of received signal energy across a network of sensors. Analytical models are formulated when the distribution of the energy measurements is given and we present an algorithm using machine learning techniques to solve the general case when the statistics of the energy measurements are unknown. In the MANET study, we propose a two-phase interference classification framework in a CSMA/CA-based MANET. It classifies different jamming attacks in a 3-D metric space and distinguishes unintentional interference and interference-free conditions based on the consistency of ACK errors and received signal strength.
PhysicalDescription
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electronic resource
Extent
xi, 92 p. : ill.
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Note
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Ph.D.
Note
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Includes bibliographical references
Note
(type = vita)
Includes vita
Note
(type = statement of responsibility)
by Song Liu
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Liu
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Song
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1978-
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author
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Song Liu
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Wade
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chair
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Advisory Committee
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Wade Trappe
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Greenstein
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Larry J
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co-chair
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Larry J Greenstein
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Mandayam
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Narayan B
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Advisory Committee
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Narayan B Mandayam
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Chen
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Yingying
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outside member
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Advisory Committee
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Yingying Chen
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Rutgers University
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degree grantor
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Graduate School - New Brunswick
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school
OriginInfo
DateCreated
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2010
DateOther
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2010-10
Place
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xx
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TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
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ETD
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Graduate School - New Brunswick Electronic Theses and Dissertations
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rucore19991600001
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NjNbRU
Identifier
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doi:10.7282/T3VD6Z6J
Genre
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ETD doctoral
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Rights
RightsDeclaration
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(ID = rulibRdec0006)
The author owns the copyright to this work.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
RightsHolder
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(type = personal)
Name
FamilyName
Liu
GivenName
Song
Role
Copyright Holder
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DateTime
2010-08-28 04:51:30
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Name
Song Liu
Affiliation
Rutgers University. Graduate School - New Brunswick
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Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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Technical
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ETD
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application/pdf
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application/x-tar
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819200
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