Zhang, R., Yang, K., Abbasi, Q. H. , Qaraqe, K. A. and Alomainy, A. (2018) Analytical modelling of the effect of noise on the terahertz in-vivo communication channel for body-centric nano-networks. Nano Communication Networks, 15, pp. 59-68. (doi: 10.1016/j.nancom.2017.04.001)
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Abstract
The paper presents an analytical model of the terahertz (THz) communication channel (0.1 - 10 THz) for in-vivo nano-networks by considering the effect of noise on link quality and information rate. The molecular absorption noise model for in-vivo nano-networks is developed based on the physical mechanisms of the noise present in the medium, which takes into account both the radiation of the medium and the molecular absorption from the transmitted signal. The signal-to-noise ratio (SNR) of the communication channel is investigated for different power allocation schemes and the maximum achievable information rate is studied to explore the potential of THz communication inside the human body. The obtained results show that the information rate is inversely proportional to the transmission distance. Based on the studies on channel performance, it can be concluded that the achievable transmission distance of in-vivo THz nano-networks should be restrained to approximately 2 mm maximum, while the operation band of in-vivo THz nano-networks should be limited to the lower band of the THz band. This motivates the utilisation of hierarchical/cooperative networking concepts and hybrid communication techniques using molecular and electromagnetic methods for future body-centric nano-networks.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Abbasi, Professor 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: | Nano Communication Networks |
| Publisher: | Elsevier |
| ISSN: | 1878-7789 |
| ISSN (Online): | 1878-7797 |
| Published Online: | 04 May 2017 |
| Copyright Holders: | Copyright © 2017 Elsevier B.V. |
| First Published: | First published in Nano Communication Networks 15: 59-68 |
| Publisher Policy: | Reproduced in accordance with the copyright policy of the publisher |
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