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An optimal decoding algorithm for molecular communications systems with noise, memory, and pulse width.
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Wang, Xiayang, Lu, Yi, Higgins, Matthew D. and Leeson, Mark S. (2016) An optimal decoding algorithm for molecular communications systems with noise, memory, and pulse width. Nano Communication Networks, 9 . pp. 7-16. doi:10.1016/j.nancom.2016.07.001 ISSN 1878-7789.
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Official URL: https://doi.org/10.1016/j.nancom.2016.07.001
Abstract
Molecular Communications (MC) is a promising paradigm to achieve message exchange between nano-machines. Due to the specific characteristics of MC systems, the channel noise and memory significantly influence the MC system performance. Aiming to mitigate the impact of these two factors, an adaptive decoding algorithm is proposed by optimising the symbol determination threshold. In this paper, this novel decoding scheme is deployed onto a concentration-based MC system with the transmitter emission process considered. To evaluate the performance, an information theoretical approach is developed to derive the Bit Error Rate (BER) and the channel capacity. Simulations are also carried out to verify the accuracy of these formulations, to compare the performance difference against other decoding schemes, and to illustrate the performance deviation caused by different designing of relevant parameters. Furthermore, the performance of MC systems with the distance unknown is also analysed. Comparisons between distance-pre-known and distance-unknown systems are provided.
Item Type: | Journal Article | ||||||||
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Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | ||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) |
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Library of Congress Subject Headings (LCSH): | Molecular communication (Telecommunication), Bit error rate, Data transmission systems | ||||||||
Journal or Publication Title: | Nano Communication Networks | ||||||||
Publisher: | Elsevier Ltd | ||||||||
ISSN: | 1878-7789 | ||||||||
Official Date: | September 2016 | ||||||||
Dates: |
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Volume: | 9 | ||||||||
Page Range: | pp. 7-16 | ||||||||
DOI: | 10.1016/j.nancom.2016.07.001 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||
Date of first compliant deposit: | 22 July 2016 | ||||||||
Date of first compliant Open Access: | 16 July 2017 |
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