Constellation Optimization for Phase-shift Keying Coherent States with Displacement Receiver to Maximize Mutual Information
Affiliation
Department of Electrical & Computer Engineering, The University of ArizonaCollege of Optical Sciences, The University of Arizona
Issue Date
2020
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Bhadani, R., & Djordjevic, I. B. (2020). Constellation Optimization for Phase-Shift Keying Coherent States With Displacement Receiver to Maximize Mutual Information. IEEE Access, 8, 224409-224419.Journal
IEEE AccessRights
Copyright © Author(s) 2020. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
An important problem in quantum information theory is finding the best possible capacity of the optical communication channel employing suitable codewords, receiver design, and constellation optimization techniques. In this paper, we derive an alternative channel capacity, CG, of phase-shift keying coherent state with a realizable displacement receiver by maximizing mutual information over symbol priors and pre-detection displacement. We find that CG is higher than the capacity achieved by maximizing mutual information over symbol prior but with zero displacement. The overall scheme demonstrates designing an improved, yet easy-to-implement receiver for better communication performance by tuning it at different photon number regime. Further, we present a comparative analysis of CG with existing receiver designs. We extend our study to account for detector imperfections. CCBYNote
Open access journalISSN
2169-3536Version
Final published versionae974a485f413a2113503eed53cd6c53
10.1109/ACCESS.2020.3044086
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Except where otherwise noted, this item's license is described as Copyright © Author(s) 2020. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.