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Steven W. McLaughlin
Researcher at Georgia Institute of Technology
Publications - 148
Citations - 8991
Steven W. McLaughlin is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: Low-density parity-check code & Turbo code. The author has an hindex of 34, co-authored 148 publications receiving 8587 citations. Previous affiliations of Steven W. McLaughlin include KAIST & University of Michigan.
Papers
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Journal ArticleDOI
Wireless Information-Theoretic Security
TL;DR: A practical secure communication protocol is developed, which uses a four-step procedure to ensure wireless information-theoretic security and is shown that the protocol is effective in secure key renewal-even in the presence of imperfect channel state information.
Journal ArticleDOI
Broadband MIMO-OFDM wireless communications
TL;DR: The paper explores various physical layer research challenges in MIMO-OFDM system design, including physical channel measurements and modeling, analog beam forming techniques using adaptive antenna arrays, and signal processing algorithms used to perform time and frequency synchronization, channel estimation, and channel tracking in M IMO- OFDM systems.
Book ChapterDOI
Fading Channels: InformationTheoretic and Communications Aspects
TL;DR: This paper describes the statistical models of fading channels which are frequently used in the analysis and design of communication systems, and focuses on the information theory of fading channel, by emphasizing capacity as the most important performance measure.
Journal ArticleDOI
Applications of LDPC Codes to the Wiretap Channel
TL;DR: This correspondence provides an alternative view of the proof for secrecy capacity of wire tap channels and shows how capacity achieving codes can be used to achieve the secrecy capacity for any wiretap channel, and shows that it is possible to construct linear-time decodable secrecy codes based on low-density parity-check codes that achieve secrecy.
Proceedings ArticleDOI
Energy efficiency based packet size optimization in wireless sensor networks
TL;DR: It is shown that forward error correction can improve the energy efficiency eventhough it introduces additional parity bits and encoding/decoding energy consumptions, and binary BCH codes are found to be 15% more energy efficient than the best performing convolutional codes.