NDLI: Frequency hopping strategies for improving terahertz sensor network performance over composition varying channels

Content Provider	IEEE Xplore Digital Library
Author	Zarepour, E. Hassan, M. Chun Tung Chou Adesina, A.A.
Copyright Year	2014
Description	Author affiliation: ATODATECH LLC, Brentwood, CA, USA (Adesina, A.A.) \|\| Sch. of Comput. Sci. & Eng., Univ. of New South Wales, Sydney, NSW, Australia (Zarepour, E.; Hassan, M.; Chun Tung Chou)
Abstract	The terahertz band is an unlicensed frequency range that is expected to be exploited in the near future for many different types of communications, including wireless communication in nano-scale sensor networks. However, as terahertz band is the resonance frequency of many molecules, communication in this band is severely affected by molecular absorption noise and attenuation. In this paper, we consider a nano-scale terahertz sensor network (TSN) where the chemical composition of the medium varies over time causing absorption for different frequency regions at different times. We propose frequency hopping as a means to overcome the problem of dynamic molecular absorption in composition varying channels. We formulate the frequency selection problem as a Markov Decision Process (MDP), which allows us to adjust the rate of frequency switching for the nano sensors because resource constrained TSN nodes may not be able to switch frequency rapidly. We show that, compared to non-hopping channel selection, frequency hopping can significantly improve capacity and bit error rate when nano sensors have severe power constraints. We propose practically realizable offline policies that obviate the need for observing the channel states, yet perform close to the MDP-based solutions.
Starting Page	1
Ending Page	9
File Size	194691
Page Count	9
File Format	PDF
ISBN	9781479947867
DOI	10.1109/WoWMoM.2014.6918973
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-19
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Time-frequency analysis Absorption Frequency hopping Spread spectrum communication Terahertz nano sensor networks Markov processes Markov decision process Inductors Chemicals Composition-varying channel Signal to noise ratio
Content Type	Text
Resource Type	Article

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