Ahmed Bader

TL;DR: In this article, a traffic-aware spatio-temporal mathematical model for IoT devices supported by cellular uplink connectivity is developed to account for the traffic requirement per IoT device, the different transmission strategies, and the mutual interference between the IoT devices.

TL;DR: A UAV-enabled cellular network setup based on tethered UAVs (tUAVs) is proposed, which enables a flight that can last for days and Monte Carlo simulations are provided to compare the performance of tUavals and uUavs in terms of coverage probability.

TL;DR: A traffic-aware spatiotemporal mathematical model based on stochastic geometry and queueing theory is utilized to characterize the extent to which cellular networks can accommodate IoT traffic as well as to assess and compare three different transmission strategies that incorporate a combination of transmission persistency, backoff, and power-ramping.

TL;DR: In this article, the authors studied the optimal placement of tethered UAVs to minimize the average path-loss between the TUAV and a receiver located on the ground, and derived upper and lower bounds for the optimal values of the tether length and inclination angle.

TL;DR: A novel conceptual framework is presented for a new generation of IoT devices that will enable multiple new features for both the IoT administrators as well as end users, and outlines some key design perspectives to enable front-end intelligence.