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Convex optimization of distributed cooperative detection in multi-receiver molecular communication
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Fang, Yuting, Noel, Adam, Yang, Nan, Eckford, Andrew W. and Kennedy, Rodney A. (2017) Convex optimization of distributed cooperative detection in multi-receiver molecular communication. IEEE Transactions on Molecular, Biological, and Multi-Scale Communications, 3 (3). pp. 166-182. doi:10.1109/TMBMC.2018.2819684 ISSN 2332-7804.
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WRAP-convex-optimization-distributed-cooperative-detection-multi-receiver-molecular-communication-Noel-2018.pdf - Accepted Version - Requires a PDF viewer. Download (802Kb) | Preview |
Official URL: https://doi.org/10.1109/TMBMC.2018.2819684
Abstract
In this paper, the error performance achieved by cooperative detection among K distributed receivers in a diffusion-based molecular communication system is analyzed and optimized. In this system, the receivers first make local hard decisions on the transmitted symbol and then report these decisions to a fusion center (FC). The FC combines the local hard decisions to make a global decision using an N -out-of- K fusion rule. Two reporting scenarios, namely, perfect reporting and noisy reporting, are considered. Closed-form expressions are derived for the expected global error probability of the system for both reporting scenarios. New approximated expressions are also derived for the expected error probability. Convex constraints are then found to make the approximated expressions jointly convex with respect to the decision thresholds at the receivers and the FC. Based on such constraints, suboptimal convex optimization problems are formulated and solved to determine the optimal decision thresholds which minimize the expected error probability of the system. Numerical and simulation results reveal that the system error performance is greatly improved by combining the detection information of distributed receivers. They also reveal that the solutions to the formulated suboptimal convex optimization problems achieve near-optimal global error performance.
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 | ||||||
Library of Congress Subject Headings (LCSH): | Molecular communication (Telecommunication), Mathematical optimization, Convex functions | ||||||
Journal or Publication Title: | IEEE Transactions on Molecular, Biological, and Multi-Scale Communications | ||||||
Publisher: | Institute of Electrical and Electronics Engineers | ||||||
ISSN: | 2332-7804 | ||||||
Official Date: | September 2017 | ||||||
Dates: |
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Volume: | 3 | ||||||
Number: | 3 | ||||||
Page Range: | pp. 166-182 | ||||||
DOI: | 10.1109/TMBMC.2018.2819684 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||
Date of first compliant deposit: | 16 March 2018 | ||||||
Date of first compliant Open Access: | 20 March 2018 | ||||||
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