Information theory analysis of regenerative channels

Sorokina, Mariia, Sygletos, Stylianos and Turitsyn, Sergei (2015). Information theory analysis of regenerative channels. IN: UNSPECIFIED IEEE.

Abstract

In this paper we summarize our recently proposed work on the information theory analysis of regenerative channels. We discuss how the design and the transfer function properties of the regenerator affect the noise statistics and enable Shannon capacities higher than that of the corresponding linear channels (in the absence of regeneration).

Publication DOI: https://doi.org/10.1109/TIWDC.2015.7323336
Divisions: Engineering & Applied Sciences
Engineering & Applied Sciences > Mathematics
Engineering & Applied Sciences > Electrical, electronic & power engineering
Engineering & Applied Sciences > Institute of Photonics
Engineering & Applied Sciences > Systems analytics research institute (SARI)
Additional Information: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Funding: EPSRC Programme Grant UNLOC EP/J017582/1
Event Title: 2015 Tyrrhenian International Workshop on Digital Communications,
Event Type: Other
Event Dates: 2015-09-22
Uncontrolled Keywords: all-optical regeneration,channel coding,Shannon theory,Computer Networks and Communications
Full Text Link: http://ieeexplore.ieee.org/document/7323336/?arnumber=7323336
Related URLs: http://www.scopus.com/inward/record.url?scp=84964597341&partnerID=8YFLogxK (Scopus URL)
Published Date: 2015-11
Authors: Sorokina, Mariia
Sygletos, Stylianos
Turitsyn, Sergei ( 0000-0003-0101-3834)

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