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Daniyal Amir Awan


I have a master's degree in electrical engineering from Technical University of Berlin. I am currently pursuing my Ph.D. in wireless communications. I also work as a guest researcher at the Wireless Communication and Networks Department, Heinrich Hertz Institute, Berlin. 

Current Research:

My research revolves around application of optimization theory, function approximation, and machine-learning to problems in wireless communication systems such as the fifth-generation (5G) systems. I am working in three main directions:

1. Cell-load estimation in wireless networks, e.g. as a function of user-rate demand.

2. Nonlinear detection/beamforming for multi-user uplink. 

3. Energy optimization in future wireless networks. 


D. A. Awan, R.L.G. Cavalcante, M. Yukawa and S. Stanczak (2019). Adaptive Learning for Symbol Detection: A Reproducing Kernel Hilbert Space Approach. Wiley, 2019, to appear

D. A. Awan and R.L.G. Cavalcante and M. Yukawa and S. Stanczak (2018). Detection for 5G-NOMA: An Online Adaptive Machine Learning Approach. IEEE International Conference on Communications (ICC), Kansas City, MO, USA.

D. A. Awan and R.L.G. Cavalcante and S. Stanczak (2018). A robust machine learning method for cell-load approximation in wireless networks. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Calgary, Alberta, Canada.

D. A. Awan, R. L.G. Cavalcante, Z. Utkovski and S. Stanczak (2018). Set-theoretic learning for detection in cell-less C-RAN systems. 6th IEEE Global Conference on Signal and Information Processing, California, USA, Nov. 26-18, 2018

D.A. Awan and R. L.G. Cavalcante and S. Stanczak (2018). Robust and Low-Complexity Cell-Load Learning with a Small Sample Set. Preprint

D. Amir Awan and R. L.G. Cavalcante and S. Stanczak (2016). Distributed RAN and backhaul optimization for energy efficient wireless networks. IEEE Global Conference on Signal and Information Processing (GlobalSIP), Washington , D.C., USA.

Q. Liao and D. A. Awan and S. Stanczak (2016). Joint Optimization of Coverage, Capacity and Load Balancing in Self-Organizing Networks. Preprint available at: arXiv:1607.04754, 8 pages, 6 figures

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Daniyal Amir Awan
Wissenschaftlicher Mitarbeiter
Network Information Theory