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On the impact of transposition errors in diffusion-based channels
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Haselmayr, Werner, Varshney, Neeraj, Asyhari, A. Taufiq, Springer, Andreas and Guo, Weisi (2019) On the impact of transposition errors in diffusion-based channels. IEEE Transactions on Communications, 67 (1). pp. 364-374. doi:10.1109/TCOMM.2018.2869568 ISSN 0090-6778.
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Official URL: https://doi.org/10.1109/TCOMM.2018.2869568
Abstract
In this work, we consider diffusion-based molecular communication with and without drift between two static nano-machines. We employ type-based information encoding releasing single molecules per information bit. At the receiver we consider an asynchronous detection algorithm which exploits the arrival order of the molecules. In such systems transposition errors fundamentally undermine reliability and capacity. Thus, in this work we study the impact of transpositions on the system performance. We present an analytical expression for the exact bit error probability (BEP) caused by transposition and we derive computationally tractable approximations of the BEP for diffusion-based channels with and without drift. Based on these results we analyze the BEP when background is not negligible and we derive the optimal bit interval minimizing the BEP. We confirm the theoretical results through numerical results. Moreover, we show the error and goodput performance for different parameters such as block size or noise generation rate.
Item Type: | Journal Article | ||||||||
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Subjects: | Q Science > QA Mathematics T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||||
Library of Congress Subject Headings (LCSH): | Molecular communication (Telecommunication), Gaussian distribution | ||||||||
Journal or Publication Title: | IEEE Transactions on Communications | ||||||||
Publisher: | IEEE | ||||||||
ISSN: | 0090-6778 | ||||||||
Official Date: | 1 January 2019 | ||||||||
Dates: |
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Volume: | 67 | ||||||||
Number: | 1 | ||||||||
Page Range: | pp. 364-374 | ||||||||
DOI: | 10.1109/TCOMM.2018.2869568 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Reuse Statement (publisher, data, author rights): | © 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. | ||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||
Date of first compliant deposit: | 21 August 2018 | ||||||||
Date of first compliant Open Access: | 21 August 2018 | ||||||||
Related URLs: | |||||||||
Open Access Version: |
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