Grant: Alliance Grants

To address the ever-increasing user demands of extremely high data rates with extremely low latency in an almost ubiquitous manner, networks will undergo an unparalleled transformation in the coming years. This transformation aiming to improve the agility and mobility of the network will be introduced through the presence of wireless nodes capable of moving in three dimensions (3D), referred to as aerial network elements (ANE). Their presence will require radical changes in the way networks and services are managed and controlled due to the cyber-physical nature of ANE that enables them to interact with the physical environment. The fundamental objective of 3D-HARMONY is to reveal the full potential of ANEs to pave the way for a holistic wireless coexistence by using machine learning (ML)/artificial intelligence (AI) techniques. This research will lay the foundations of AI-enabled ANE-ground coexisting 3D network systems by developing a novel framework that merges tools from ML, communication theory, statistical learning, and optimization. The technical ideas transcend the traditional boundaries of wireless communications and networking, thus ensuring a broad scientific impact across multiple areas ranging from communication theory to ML, optimization, and statistics. Furthermore, the project outcomes will help in deploying relevant spectrum-sharing and coexistence techniques.