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Dr.-Ing. Abdullah Yaqot
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Interests
My interests are in the area of the physical layer of communication systems. Some topics are: multi-user MIMO systems, massive MIMO, cognitive radio, precoding / beamforming, resource allocation, channel estimation, interference management, as well as convex optimization and deep learning in wireless communication.
CV
- Born on October 7, 1980
- 1998/1999: Abitur at Abdulnasser High School
- 2000 - 2005: B.Sc. in Electrical Engineering 2005 at the University of Sana'a, Yemen
- 2005 - 2006: Teaching assistant at the University of Sana’a, Yemen
- 2007 - 2010: M.Sc. in Wireless Communication 2010 at Yarmouk University, Jordanian
- 2010 - 2012: Lecturer at the University of Science and Technology, Yemen
- 2012 - 2017: PhD in Digital Communication 2017 at the University of Kiel, Germany
- 2019 - 2020: Research Associate at the Institute for Automation and Communication (ifak)
- Since 2021: Research Associate at the Technical University of Lübeck
Projects
Review
- Journals: IEEE Wireless Communication Letters und Wireless Personal Communications, Automatisierungstechnik.
- Conferences: IEEE ICCC2021,IEEE VTC2020-Fall, IEEE VTC2020-Spring,IEEE VTC2019-Fall,IEEE BlackSeaCom 2017,IEEE WCNC 2015, IEEE PIMRC 2013.
Publications
- D. Sun, Y. Xi, A. Yaqot, H. Hellbrück, H. Wu, ``Throughput Maximization Using Deep Complex Networks for Industrial Internet of Things,'' Sensors, 2022.
- A. Soukieh, A. Yaqot, H. Hellbrueck, ''HLS: Hierarchical lossless segmentation - A new approach for bilevel image compression,'' in Proc. IEEE ICECCME 2022, Maldives, 2022.
- A. Yaqot and L. Rauchhaupt,``Whitened MMSE precoding against multicell interference in massive MIMO broadcasting,’’ in Proc. 6th IEEE International Conference on Computer and Communications (ICCC), China, 2020.
- A. Yaqot and L. Rauchhaupt,``Efficient resource allocation paradigm for MIMO industrial cognitive networks,‘’ in Proc. IEEE CITS2020, China, Oct. 2020.
- A. Yaqot, D. Sun, et.al, ``Potentials of MIMO and neural network in industrial underlay cognitive networks,’’ in Proc.IEEE TVT2020-Fall, Canada, Oct. 2020.
- D. Sun, A. Yaqot, et al, ``Attention-based deep convolutional neural network for spectral efficiency optimization in MIMO systems,’’ Neural Computing and Applications, July 2020. DOI: doi.org/10.1007/s00521-020-05142-9
- Abdullah Yaqot, Adaptive Precoding and Resource Allocation in Cognitive Radio Networks, Shaker Verlag, 2017. ISBN: 978-3-8440-5372-2.
- A. Yaqot and P. A. Hoeher, “Efficient resource allocation for cognitive radio networks,'' IEEE Transaction on Vehicular Technology, vol. 66, no. 7, July. 2017.
- A. Yaqot and P. A. Hoeher, “On precoding diversity in cognitive networks,'' in Proc. 23rd International Conference on Telecommunications (ICT2016), Thessaloniki, Greece, May 2016, pp. 48-52.
- A. Yaqot and P. A. Hoeher, “Adaptive MMSE-based precoding in multiuser MIMO broadcasting with application to cognitive radio,'' in Proc. 20th International ITG Workshop on Smart Antennas (WSA2016), Munich, Germany, Mar. 2016, pp. 340-347.
- A. Yaqot and P. A. Hoeher, “Efficient resource allocation for MIMO-OFDM cognitive networks with adaptive precoding,'' in Proc. 18th International OFDM Workshop (InOWo'14), Essen, Germany, Aug. 2014, pp. 85-91.
- K. Gharaibeh and A. Yaqot, “Target classification in wireless sensor network using particle swarm optimization (PSO),'' in Proc. IEEE Sensor Applications Symposium (SAS2012), Italy, Feb. 2012.
Also found at:
https://www.researchgate.net/profile/Abdullah-Yaqot/publications
