abstract: An analysis is presented of a network of distributed receivers encumbered by strong in-band interference. The structure of information present across such receivers and how they might collaborate to recover a signal of interest is studied. Unstructured (random coding) and structured (lattice coding) strategies are studied towards this purpose for a certain adaptable system model. Asymptotic performances of these strategies and algorithms to compute them are developed. A jointly-compressed lattice code with proper configuration performs best of all strategies investigated. / Dissertation/Thesis / Doctoral Dissertation Electrical Engineering 2019
Identifer | oai:union.ndltd.org:asu.edu/item:55519 |
Date | January 2019 |
Contributors | Chapman, Christian Douglas (Author), Bliss, Daniel W (Advisor), Richmond, Christ D (Committee member), Kosut, Oliver (Committee member), Tepedelenlioglu, Cihan (Committee member), Arizona State University (Publisher) |
Source Sets | Arizona State University |
Language | English |
Detected Language | English |
Type | Doctoral Dissertation |
Format | 115 pages |
Rights | http://rightsstatements.org/vocab/InC/1.0/ |
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