Terahertz (THz) band (0.1‐10 THz) is now considered as a strong candidate band for the prospective 6G communications due to its intrinsic massive bandwidth and data rate support. 6G will also involve non-terrestrial networks (NTN), such as drone networks to complement terrestrial networks to provide not only monitoring and sensing capabilities but also to serve as portable base stations forming a communication infrastructure in case of emergencies or disasters.
The advent of artificual intelligence (AI) and machine learning (ML) in the communications paradigm has been recently surged. Various tutorials and survey works have been published within the past few years on applications of AI/ML in wireless communications as well as for self‐ intelligent network organization and management. AI/ML‐based approaches will also assist problems in THz drone communications, by getting trained from dynamically changing uncertain channel data.
In this project, ML‐based algorithms will be employed for developing communications solutions for THz drone networks, including but not limited to antenna beamforming, channel selection, power control and ultra massive MIMO (UM-MIMO).
The project is within the scope of a joint TÜBİTAK-DAAD (Turkiye-Germany collaboration) project.
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