Stochastic analysis of multi-tier nanonetworks in THz band
Kokkoniemi, Joonas; Lehtomäki, Janne; Juntti, Markku (2017-09-27)
Joonas Kokkoniemi, Janne Lehtomäki, and Markku Juntti. 2017. Stochastic analysis of multi-tier nanonetworks in THz band. In Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication (NanoCom '17). ACM, New York, NY, USA, Article 30, 6 pages. DOI: https://doi.org/10.1145/3109453.3109472
© 2017 ACM. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of NANOCOM ’17, Washington D.C., DC, USA, September 27-29, 2017, http://dx.doi.org/10.1145/3109453.3109472.
https://rightsstatements.org/vocab/InC/1.0/
https://urn.fi/URN:NBN:fi-fe2018080933580
Tiivistelmä
Abstract
Future nanonetworks are formed by large numbers of autonomous, nano-sized sensors. These are often envisioned to be paired with one or more layers of higher complexity devices, providing access to the external networks. The number of devices sharing the same frequency resources can theoretically be very high, up to several hundreds per square meter. This causes the overall interference of the network to increase with the complexity of the network. In this work, stochastic geometry is utilized to derive the moments of the summed interference in the case of multi-tier nanonetworks in the terahertz frequency band (0.1--10 THz). All the devices in all the tiers of the network are assumed to be Poisson distributed. Based on this assumption, models for the moments of interference are derived and they are shown by computer simulations to predict the mean interference and its higher moments exactly.
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