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http://hdl.handle.net/11375/13276
Title: | DISCRETE-TIME POISSON CHANNEL: CAPACITY AND SIGNALLING DESIGN |
Authors: | Cao, Jihai |
Advisor: | Hranilovic, Steve Chen, Jun |
Department: | Electrical and Computer Engineering |
Keywords: | Discrete-time Poisson;Channel Capacity;Signalling desing;intersatellite optical communication;capacity-achieving distribution;multiple access channel;Other Electrical and Computer Engineering;Other Electrical and Computer Engineering |
Publication Date: | Oct-2013 |
Abstract: | <p>The discrete-time Poisson (DTP) channel models a wide range of optical communication channels. The channel capacity and capacity-achieving distributions are generally unknown. This thesis addresses system design of DTP channels and presents novel contributions to the capacity of DTP channel, properties and closed-form expression of the capacity-achieving distribution under peak and average constraints, signalling design, and sum-capacity-achieving distributions of DTP multiple access channel (MAC) with peak amplitude constraints.</p> <p>Two algorithms are developed to compute the channel capacity of DTP channel as well as the capacity-achieving distribution with average and peak amplitude constraints. Tight lower bounds based on input distributions with simple forms are presented. Non-uniform signalling algorithms to achieve the channel capacity are also demonstrated. Fundamental properties of capacity-achieving distributions for DTP channels are established. Furthermore, necessary and sufficient conditions on the optimality of binary distributions are presented. Analytical expressions for the capacity-achieving distributions of the DTP channel are derived when there is no dark current and when the dark current is large enough. A two-user DTP multiple access channel model is proposed and it is shown that the sum-capacity-achieving distributions under peak amplitude constraints are discrete with a finite number of mass points.</p> |
Description: | <h2 id="x-x-x-bp_categories-h"> </h2> |
URI: | http://hdl.handle.net/11375/13276 |
Identifier: | opendissertations/8097 9134 4500708 |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
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fulltext.pdf | 1.51 MB | Adobe PDF | View/Open |
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