Abdullah Yaqot

Abdullah Yaqot (born October 7, 1980) is a researcher in wireless communication systems, currently affiliated with the Technical University of Lübeck since 2021. His work focuses on the physical layer of communication systems, with expertise in multi-user MIMO, massive MIMO, cognitive radio, and deep learning for wireless optimization.

• PhD in Digital Communication (University of Kiel, 2017)
• Research experience at the Institute for Automation and Communication (ifak, 2019-2020)

His research encompasses adaptive precoding, resource allocation, channel estimation, and interference management. Recent publications highlight the integration of deep learning techniques (e.g., attention-based networks, complex neural networks) to enhance spectral efficiency and throughput in industrial IoT and MIMO systems.

Selected publications cover topics like hierarchical lossless segmentation for image compression (2022), multicell interference mitigation in massive MIMO (2020), and cognitive radio resource allocation (2014). Collaborations include D. Sun, Y. Xi, H. Hellbrück, and L. Rauchhaupt.

• Published in journals: IEEE Wireless Communication Letters, Neural Computing and Applications
• Conference contributions: IEEE ICCC, VTC, WCNC, SAS