Academic Collaborations
Dates: 12-12-2023
Title: Uplink coexistence for high throughput UAVs in cellular networks
Abstract:
During the visit, Dr. Ayat Zaki Hindi delved into the cutting-edge field of cellular-connected Unmanned Aerial Vehicles (UAVs), with a focus on scenarios where UAVs equipped with cameras streamed live events. These UAVs shared the cellular network with numerous ground user equipment (gUEs), employed by event attendees to upload content. This scenario posed a significant challenge as the network had to cater to the high data rate demands of both UAVs and gUEs. To navigate this complexity, Dr. Hindi’s work investigated interference mitigation techniques utilizing UAV beamforming capabilities and introduced an innovative UAV cell-selection algorithm designed to reduce UAV interference with the serving cell.
Findings from Dr. Hindi’s research highlighted a remarkable increase in uplink data rates by 32% for gUEs in densely populated cells, while also achieving a desired UAV throughput of 20 Mbps. This enhancement necessitated a 50% rise in UAV transmission power and resulted in a minor decrease, up to 13%, in data rates for gUEs in adjacent cells.
Moreover, Dr. Hindi explored the practical scenario of UAVs equipped with panel antennas, which could direct a fixed number of beams. The research determined the optimal number of beams required to ensure UAV performance without adversely affecting the network’s ability to serve high-density areas. The study concluded that a minimum of two beams was crucial for maintaining UAV performance, with the use of four beams significantly improving energy efficiency.
Expanding to consider the operation of multiple UAVs in close proximity, Dr. Hindi presented a UAV admission strategy aimed at preserving their performance while limiting their impact on terrestrial network users. This visit covered the trajectory of Dr. Hindi’s research, from initial conceptualization to the development of solutions poised to transform the integration of UAVs into cellular networks, ensuring high efficiency and minimal disruption.







