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Information rate analysis of ASK-based molecular communication systems with feedback

Ghavami, Siavash and Adve, Raviraj and Lahouti, Farshad (2021) Information rate analysis of ASK-based molecular communication systems with feedback. Nano Communication Networks, 28 . Art. No. 100339. ISSN 1878-7789. doi:10.1016/j.nancom.2020.100339.

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In this paper we develop lower and upper bounds on the capacity of an amplitude shift keying (ASK)-based molecular communication (MC) system with feedback. Analyzing the effect of feedback on the performance of MC is motivated by the growing use of feedback in controlling drug delivery. Based on causal knowledge of the number of transmitted and received molecules, the input probability of symbols is adapted so as to maximize directed information in the molecular communication channel. We considered one dimensional channel with drift velocity caused by blood flow. In our system, molecules propagate in a fluid with a drift velocity; the receiver absorbs the molecule unless it is saturated (saturation models a limit on ligand binding). The input is limited by a toxicity constraint of injected molecules. We also study the effects of feedback on the achievable information rates in terms of the time delay in receiving the feedback. We show that, especially for higher values of toxicity constraint and sequence length, feedback, in terms of causal knowledge of the number of delivered molecules, improves performance of ASK-based molecular communication.

Item Type:Article
Related URLs:
URLURL TypeDescription
Ghavami, Siavash0000-0003-2422-225X
Adve, Raviraj0000-0003-0224-2209
Lahouti, Farshad0000-0002-8729-873X
Additional Information:© 2020 Elsevier. Received 25 March 2020, Revised 19 December 2020, Accepted 28 December 2020, Available online 30 December 2020. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Subject Keywords:Molecular communication; Information rate; Feedback; Directed information; Drug delivery
Record Number:CaltechAUTHORS:20210527-093456647
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Official Citation:Siavash Ghavami, Raviraj Adve, Farshad Lahouti, Information rate analysis of ASK-based molecular communication systems with feedback, Nano Communication Networks, Volume 28, 2021, 100339, ISSN 1878-7789,
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:109272
Deposited By: George Porter
Deposited On:27 May 2021 21:53
Last Modified:16 Nov 2021 19:35

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