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Simplified cooperative detection for multi-receiver molecular communication
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Fang, Yuting, Noel, Adam, Wang, Yiran and Yang, Nan (2017) Simplified cooperative detection for multi-receiver molecular communication. In: 2017 IEEE Information Theory Workshop (ITW), Kaohsiung, Taiwan, Taiwan, 6-10 Nov 2017. Published in: 2017 IEEE Information Theory Workshop (ITW) pp. 329-333. ISBN 9781509030972. doi:10.1109/ITW.2017.8278032
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Official URL: http://dx.doi.org/10.1109/ITW.2017.8278032
Abstract
Diffusion-based molecular communication (MC) systems experience significant reliability losses. To boost the reliability, a MC scheme where multiple receivers (RXs) work cooperatively to decide the signal of a transmitter (TX) by sending the same type of molecules to a fusion center (FC) is proposed in this paper. The FC observes the total number of molecules received and compares this number with a threshold to determine the TX's signal. The proposed scheme is more bio-realistic and requires relatively low computational complexity compared to existing cooperative schemes where the RXs send and the FC recognizes different types of molecules. Asymmetric and symmetric topologies are considered, and closed-form expressions are derived for the global error probability for both topologies. Results show that the trade-off for simplified computations leads to a slight reduction in error performance, compared to the existing cooperative schemes.
Item Type: | Conference Item (Paper) | ||||
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) | ||||
Journal or Publication Title: | 2017 IEEE Information Theory Workshop (ITW) | ||||
Publisher: | IEEE | ||||
ISBN: | 9781509030972 | ||||
Book Title: | 2017 IEEE Information Theory Workshop (ITW) | ||||
Official Date: | 2017 | ||||
Dates: |
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Page Range: | pp. 329-333 | ||||
DOI: | 10.1109/ITW.2017.8278032 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access | ||||
Conference Paper Type: | Paper | ||||
Title of Event: | 2017 IEEE Information Theory Workshop (ITW) | ||||
Type of Event: | Conference | ||||
Location of Event: | Kaohsiung, Taiwan, Taiwan | ||||
Date(s) of Event: | 6-10 Nov 2017 |
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