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Metric combinations in non-coherent signal detection for molecular communication
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Liu, S., Li, Bin, Zhao, Chenglin, Guo, Weisi and Wei, Z. (2019) Metric combinations in non-coherent signal detection for molecular communication. Nano Communication Networks, 20 . pp. 1-10. doi:10.1016/j.nancom.2019.02.001 ISSN 1878-7789.
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Official URL: https://doi.org/10.1016/j.nancom.2019.02.001
Abstract
In emerging Internet-of-Nano-Things (IoNT) and molecular communication (MC), digital information will be embedded in chemical molecules in order to propagate through complex and absorbing media. However, two main challenges in signal detection are the intensive inter-symbol-interference (ISI) and the severe background noise, which may heavily deteriorate the reliability of molecular communications. This may be even worse when facing unknown channel impulse response (CIR), which is common in the industrial practice of MCs, rendering most of coherent signal detection schemes in traditional wireless communications less attractive. In this paper, we propose an improved non-coherent signal detection scheme, aiming at addressing ISI and noise contamination in the absence of CIR. Specifically, we utilized three non-coherent metrics to characterize transient features of received signals, and furthermore, designed an optimized combination scheme for more reliable signal detections. Given that the significance of each non-coherent metric remains unknown, we devise a self-adaption method premised on the concept of deflection coefficient, which can recursively determine the optimal combination weights. Numerical simulations demonstrate that our proposed scheme significantly improves the detection performance in terms of bit error rate (BER), and outperforms the adaptive threshold detection (ATD) method over 7 dB.
Item Type: | Journal Article | ||||||||
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||||
Journal or Publication Title: | Nano Communication Networks | ||||||||
Publisher: | Elsevier Ltd | ||||||||
ISSN: | 1878-7789 | ||||||||
Official Date: | June 2019 | ||||||||
Dates: |
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Volume: | 20 | ||||||||
Page Range: | pp. 1-10 | ||||||||
DOI: | 10.1016/j.nancom.2019.02.001 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||
Date of first compliant deposit: | 6 March 2019 |
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