Improved capacity upper bounds for the discrete-time poisson channel
File(s)1801.02745v3.pdf (505.4 KB)
Accepted version
Author(s)
Cheraghchi, M
Ribeiro, J
Type
Conference Paper
Abstract
We present new capacity upper bounds for the discrete-time Poisson channel with no dark current and an average-power constraint. These bounds are a simple consequence of techniques developed by one of the authors for the seemingly unrelated problem of upper bounding the capacity of binary deletion and repetition channels. Previously, the best known capacity upper bound in the regime where the average-power constraint does not approach zero was due to Martinez (JOSA B, 2007), which we re-derive as a special case of our framework. Furthermore, we instantiate our framework to obtain a closed-form bound that noticeably improves the result of Martinez everywhere.
Date Issued
2018-08-15
Date Acceptance
2018-03-31
Citation
2018 IEEE International Symposium on Information Theory (ISIT), 2018, pp.1769-1773
ISBN
9781538647813
ISSN
2157-8095
Publisher
IEEE
Start Page
1769
End Page
1773
Journal / Book Title
2018 IEEE International Symposium on Information Theory (ISIT)
Copyright Statement
© 2018 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.
Source
IEEE International Symposium on Information Theory (ISIT)
Subjects
cs.IT
math.IT
Publication Status
Published
Start Date
2018-06-17
Finish Date
2018-06-22
Coverage Spatial
Vail, CO, USA
Date Publish Online
2018-08-16