Vijaya Yajnanarayana

TL;DR: The typical airborne connectivity requirements and characteristics are identified, the different propagation conditions for UAVs and mobiles on the ground with measurement and ray tracing results are highlighted, and simulation results are presented to shed light on the feasibility of providing LTE connectivity for Uavs.

TL;DR: In this article, the authors present and analyze field measurement data collected during drone flights in a commercial LTE network and present simulation results to shed light on the performance of a network when it is serving many drones simultaneously over a wide area.

TL;DR: The Hexa-X project as mentioned in this paper aims to support high-resolution localization and sensing in the next generation of mobile communication, which will enable novel use cases requiring extreme localization performance and provide a means to support and improve communication functionalities.

TL;DR: A novel method for handover optimization in a 5G cellular network using reinforcement learning (RL) is detail and it is shown that the handover mechanism can be posed as a contextual multi-armed bandit problem and solve it using Q-learning method.

TL;DR: In this paper, the authors analyze field measurement data collected during drone flights in a commercial Long-Term Evolution (LTE) network and present simulation results to shed light on the performance of a network when the network is serving many drones simultaneously over a wide area.