Scientific Objective (SO) 1: iNTN coexistence and optimization
Design and optimize large-scale integrated terrestrial and non-terrestrial networks (iNTNs) for unmanned aerial vehicle (UAV) connectivity using a practical yet theoretical framework. Consider wide-spectrum sharing opportunities and the numerous degrees of freedom inherent in modern networks. Identify the fundamental performance limits and trade-offs of the iNTN, focusing on key performance indicators such as coverage, reliability, latency, capacity, and/or energy efficiency across various network layers and system configurations.
Scientific Objective 2: UAV-aware network algorithm design
Develop and implement new and energy-efficient load (re)distribution optimization and multi-connectivity support frameworks, along with advanced mobility, interference, and beam management, to address the unique traffic and quality of service requirements of aerial UAVs, including ultra-reliable and/or low-latency and/or multi-Gbps demands, while maintaining the performance of ground user equipment (GUE) unaffected. The algorithms may leverage prior information on UAV trajectory to drive functions.
Scientific Objective 3: Open source iNTN system level simulator
Establish the first open-source integrated terrestrial and non-terrestrial network (iNTN) system-level simulator to validate the project’s theoretical findings and serve as a platform for developing and testing the proposed UAV-aware network algorithms and the overall iNTN optimization framework. This initiative will empower researchers and developers to simulate various scenarios and assess the effectiveness of iNTN solutions for a broad spectrum of UAV applications, encompassing, but not limited to, search and rescue, surveillance, disaster response, and delivery services. The utilization of this open-source iNTN system-level simulator will provide the research community with a robust tool, fostering collaboration and expediting progress in this rapidly evolving field.
