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

  • 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

https://www.linkedin.com/in/abdullahyaqot/