Non-coherent multiple-symbol detection for diffusive molecular communications

Vahid Jamali; Nariman Farsad; Robert Schober; Andrea Goldsmith

doi:10.1145/2967446.2967466

Non-coherent multiple-symbol detection for diffusive molecular communications

Vahid Jamali, Nariman Farsad, Robert Schober, Andrea Goldsmith

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

18 Scopus citations

Abstract

Most of the available works on molecular communication (MC) assume that the channel state information (CSI) is perfectly known at the receiver for data detection. In contrast, in this paper, we study non-coherent multiple-symbol detection schemes which do not require knowledge of the CSI. In particular, we derive the optimal maximum likelihood (ML) multiple-symbol (MLMS) detector. Moreover, we propose an approximated detection metric and a suboptimal detector to cope with the high complexity of the optimal MLMS detector. Numerical results reveal the effectiveness of the proposed optimal and suboptimal detection schemes with respect to a baseline scheme which assumes perfect CSI knowledge, particularly when the number of observations used for detection is sufficiently large.

Original language	English (US)
Title of host publication	Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016
Publisher	Association for Computing Machinery, Inc
ISBN (Electronic)	9781450340618
DOIs	https://doi.org/10.1145/2967446.2967466
State	Published - Sep 28 2016
Externally published	Yes
Event	3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016 - New York, United States Duration: Sep 28 2016 → Sep 30 2016

Publication series

Name	Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016

Other

Other	3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016
Country/Territory	United States
City	New York
Period	9/28/16 → 9/30/16

All Science Journal Classification (ASJC) codes

Computational Theory and Mathematics
Communication
Computer Networks and Communications

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10.1145/2967446.2967466

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Jamali, V., Farsad, N., Schober, R., & Goldsmith, A. (2016). Non-coherent multiple-symbol detection for diffusive molecular communications. In Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016 Article a7 (Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016). Association for Computing Machinery, Inc. https://doi.org/10.1145/2967446.2967466

Jamali, Vahid ; Farsad, Nariman ; Schober, Robert et al. / Non-coherent multiple-symbol detection for diffusive molecular communications. Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016. Association for Computing Machinery, Inc, 2016. (Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016).

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abstract = "Most of the available works on molecular communication (MC) assume that the channel state information (CSI) is perfectly known at the receiver for data detection. In contrast, in this paper, we study non-coherent multiple-symbol detection schemes which do not require knowledge of the CSI. In particular, we derive the optimal maximum likelihood (ML) multiple-symbol (MLMS) detector. Moreover, we propose an approximated detection metric and a suboptimal detector to cope with the high complexity of the optimal MLMS detector. Numerical results reveal the effectiveness of the proposed optimal and suboptimal detection schemes with respect to a baseline scheme which assumes perfect CSI knowledge, particularly when the number of observations used for detection is sufficiently large.",

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Jamali, V, Farsad, N, Schober, R & Goldsmith, A 2016, Non-coherent multiple-symbol detection for diffusive molecular communications. in Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016., a7, Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016, Association for Computing Machinery, Inc, 3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016, New York, United States, 9/28/16. https://doi.org/10.1145/2967446.2967466

Non-coherent multiple-symbol detection for diffusive molecular communications. / Jamali, Vahid; Farsad, Nariman; Schober, Robert et al.
Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016. Association for Computing Machinery, Inc, 2016. a7 (Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - Most of the available works on molecular communication (MC) assume that the channel state information (CSI) is perfectly known at the receiver for data detection. In contrast, in this paper, we study non-coherent multiple-symbol detection schemes which do not require knowledge of the CSI. In particular, we derive the optimal maximum likelihood (ML) multiple-symbol (MLMS) detector. Moreover, we propose an approximated detection metric and a suboptimal detector to cope with the high complexity of the optimal MLMS detector. Numerical results reveal the effectiveness of the proposed optimal and suboptimal detection schemes with respect to a baseline scheme which assumes perfect CSI knowledge, particularly when the number of observations used for detection is sufficiently large.

AB - Most of the available works on molecular communication (MC) assume that the channel state information (CSI) is perfectly known at the receiver for data detection. In contrast, in this paper, we study non-coherent multiple-symbol detection schemes which do not require knowledge of the CSI. In particular, we derive the optimal maximum likelihood (ML) multiple-symbol (MLMS) detector. Moreover, we propose an approximated detection metric and a suboptimal detector to cope with the high complexity of the optimal MLMS detector. Numerical results reveal the effectiveness of the proposed optimal and suboptimal detection schemes with respect to a baseline scheme which assumes perfect CSI knowledge, particularly when the number of observations used for detection is sufficiently large.

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Jamali V, Farsad N, Schober R, Goldsmith A. Non-coherent multiple-symbol detection for diffusive molecular communications. In Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016. Association for Computing Machinery, Inc. 2016. a7. (Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016). doi: 10.1145/2967446.2967466

Non-coherent multiple-symbol detection for diffusive molecular communications

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