Non-coherent multiple-symbol detection for diffusive molecular communications
Jamali V, Farsad N, Schober R, Goldsmith A (2016)
Publication Type: Conference contribution
Publication year: 2016
Publisher: Association for Computing Machinery, Inc
Conference Proceedings Title: Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016
Event location: New York, NY
ISBN: 9781450340618
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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APA:
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. New York, NY, US: Association for Computing Machinery, Inc.
MLA:
Jamali, Vahid, 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, New York, NY Association for Computing Machinery, Inc, 2016.
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