Statistical Uplink Dimensioning in Licensed Cellular Low Power IoT Networks

This paper proposes a statistical dimensioning model for the uplink of a Narrow-Band (NB-IoT) network. The average behavior of the network is considered by assuming the sensors and the collectors are distributed according to a random Poisson Point Process that is marked by the channel randomness. The main objective of this paper is to establish a tradeoff between the energy consumption of the sensors, the allocated bandwidth at the collector and the density of the collectors in the network. We also show the impact of Single Input Multiple Output (SIMO) transmission in improving this tradeoff.

[1]  Philippe Martins,et al.  Robust methods for LTE and WiMAX dimensioning , 2012, 6th International ICST Conference on Performance Evaluation Methodologies and Tools.

[2]  Martin Haenggi,et al.  Outage Probability of General Ad Hoc Networks in the High-Reliability Regime , 2010, IEEE/ACM Transactions on Networking.

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

[4]  Jeffrey G. Andrews,et al.  Transmission capacity of wireless ad hoc networks with outage constraints , 2005, IEEE Transactions on Information Theory.

[5]  Jeffrey G. Andrews,et al.  A Primer on Cellular Network Analysis Using Stochastic Geometry , 2016, ArXiv.

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

[7]  Lina Mroueh,et al.  Radio resource dimensioning in a centralized Ad-Hoc maritime MIMO LTE network , 2015, 2015 36th IEEE Sarnoff Symposium.

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

[9]  François Baccelli,et al.  Stochastic geometry and wireless networks , 2009 .