Ultrareliable and Low-latency communication UAV communication with the AID of RIS

15.00-16.30 MSK

Next generation networks are expected to face fundamental challenges to provide the desired performance. These challenges include the demands for high data rates and convenient connectivity rapidly increase in future wireless communication, varies types of modulations, as well as the need for wide coverage. Recently, unmanned aerial vehicles (UAVs) have been extensively utilized in communication networks due to their versatility and maneuverability. UAVs can be deployed to establish communication in regions which are inaccessible by terrestrial networks.

However, UAVs have limited batteries and to achieve the desired performance, UAVs consume more power for hovering and flying. Therefore, optimizing the power consumption and UAV trajectory/placement is crucial in designing UAV-aided communication. In order to enhance the propagation in complex environment, reconfigurable intelligent surfaces (RIS) have been considered due to their capabilities in extending network coverage, energy friendly nature, flexibility, and suitability for applications comprise blockage of the line-of-sight (LoS) path. A RIS comprises a large number of low-cost passive antennas that can smartly reflect the impinging electromagnetic waves for performance enhancement.

Both RIS and UAV can be employed in multiple networking topologies and flexibly deployed in various application scenarios. In this seminar, we focus on minimizing the power consumption in UAV-aided multiuser RIS wireless network in presence of UAV jittering while considering the impact of imperfect hardware. We optimize the active UAV beamforming, passive beamforming, and UAV trajectory. Using the proposed iterative solution, we design a proactive deep learning model to handle the formulated problem in the real-time.

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