Analytical characterisation of the terahertz in-vivo nano-network in the presence of interference based on TS-OOK communication scheme

Zhang, R., Yang, K., Abbasi, Q. H. , Qaraqe, K. A. and Alomainy, A. (2017) Analytical characterisation of the terahertz in-vivo nano-network in the presence of interference based on TS-OOK communication scheme. IEEE Access, 5, pp. 10172-10181. (doi: 10.1109/ACCESS.2017.2713459)

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The envisioned dense nano-network inside the human body at terahertz (THz) frequency suffers a communication performance degradation among nano-devices. The reason for this performance limitation is not only the path loss and molecular absorption noise, but also the presence of multi-user interference and the interference caused by utilising any communication scheme, such as time spread ON—OFF keying (TS-OOK). In this paper, an interference model utilising TS-OOK as a communication scheme of the THz communication channel inside the human body has been developed and the probability distribution of signal-to-interference-plus-noise ratio (SINR) for THz communication within different human tissues, such as blood, skin, and fat, has been analyzed and presented. In addition, this paper evaluates the performance degradation by investigating the mean values of SINR under different node densities in the area and the probabilities of transmitting pulses. It results in the conclusion that the interference restrains the achievable communication distance to approximate 1 mm, and more specific range depends on the particular transmission circumstance. Results presented in this paper also show that by controlling the pulse transmission probability and node density, the system performance can be ameliorated. In particular, SINR of in vivo THz communication between the deterministic targeted transmitter and the receiver with random interfering nodes in the medium improves about 10 dB, when the node density decreases one order. The SINR increases approximate 5 and 2 dB, when the pulse transmitting probability drops from 0.5 to 0.1 and 0.9 to 0.5.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Abbasi, Dr Qammer
Authors: Zhang, R., Yang, K., Abbasi, Q. H., Qaraqe, K. A., and Alomainy, A.
College/School:College of Science and Engineering > School of Engineering
Journal Name:IEEE Access
ISSN (Online):2169-3536
Published Online:09 June 2017
Copyright Holders:Copyright © 2017 IEEE Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission.
First Published:First published in IEEE Access 5:10172-10181
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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