Stochastic analysis of multi-tier nanonetworks in THz band

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.

[1]  François Baccelli,et al.  Stochastic Geometry and Wireless Networks, Volume 1: Theory , 2009, Found. Trends Netw..

[2]  Markku J. Juntti,et al.  A discussion on molecular absorption noise in the terahertz band , 2016, Nano Commun. Networks.

[3]  Yevgeni Koucheryavy,et al.  Interference and SINR in Millimeter Wave and Terahertz Communication Systems With Blocking and Directional Antennas , 2017, IEEE Transactions on Wireless Communications.

[4]  Jeffrey G. Andrews,et al.  Stochastic geometry and random graphs for the analysis and design of wireless networks , 2009, IEEE Journal on Selected Areas in Communications.

[5]  Gang Li,et al.  The HITRAN 2008 molecular spectroscopic database , 2005 .

[6]  Ian F. Akyildiz,et al.  Graphene-based Plasmonic Nano-Antenna for Terahertz Band Communication in Nanonetworks , 2013, IEEE Journal on Selected Areas in Communications.

[7]  M. Haenggi,et al.  Interference in Large Wireless Networks , 2009, Found. Trends Netw..

[8]  Janne J. Lehtomäki,et al.  Stochastic Geometry Analysis for Mean Interference Power and Outage Probability in THz Networks , 2017, IEEE Transactions on Wireless Communications.

[9]  Jeffrey G. Andrews,et al.  Transmission Capacity of Wireless Networks , 2012, Found. Trends Netw..

[10]  Gerhard Fettweis,et al.  5G and the future of IoT , 2016, ESSCIRC Conference 2016: 42nd European Solid-State Circuits Conference.

[11]  Ian F. Akyildiz,et al.  Channel Modeling and Capacity Analysis for Electromagnetic Wireless Nanonetworks in the Terahertz Band , 2011, IEEE Transactions on Wireless Communications.

[12]  Ian F. Akyildiz,et al.  Electromagnetic wireless nanosensor networks , 2010, Nano Commun. Networks.

[13]  Vitaly Petrov,et al.  Interference and SINR in Dense Terahertz Networks , 2015, 2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall).

[14]  Yevgeni Koucheryavy,et al.  On the Efficiency of Spatial Channel Reuse in Ultra-Dense THz Networks , 2014, GLOBECOM 2014.

[15]  Martin Haenggi,et al.  Outage, local throughput, and capacity of random wireless networks , 2008, IEEE Transactions on Wireless Communications.

[16]  Martin Haenggi,et al.  Stochastic Geometry for Modeling, Analysis, and Design of Multi-Tier and Cognitive Cellular Wireless Networks: A Survey , 2013, IEEE Communications Surveys & Tutorials.