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Daniyal Amir Awan

I have a master's degree in electrical engineering from Technical University of Berlin. I work as a research associate at TU Berlin and as a guest researcher at the Wireless Communication and Networks Department, Heinrich Hertz Institute, Berlin. My research revolves around application of optimization theory, function approximation, and machine-learning to problems in wireless communication systems. I am currently working in the following directions:

1. Set-membership & robust function approximation in dynamic wireless networks with a small sample set. 

2. Nonlinear detection for multi-user uplink using the set-membership paradigm.

3. Energy optimization in future wireless networks. 


D. A. Awan, Renato L.G. Cavalcante and Slawomir Stanczak (2019). Robust Cell-Load Learning with a Small Sample Set [1]. IEEE Transactions on Signal Processing, accepted, 24th Nov. 2019

Matthias Mehlhose, Daniyal Amir Awan, Renato L.G. Cavalcante, Martin Kurras and Slawomir Stanczak (2019). Machine Learning-Based Adaptive Receive Filtering: Proof-of-Concept on an SDR Platform [2]. arXiv:1911.04291, submitted to ICC 2020, 11 Nov. 2019

D. A. Awan, R.L.G. Cavalcante, M. Yukawa and S. Stanczak (2019). Adaptive Learning for Symbol Detection: A Reproducing Kernel Hilbert Space Approach [3]. 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 [4]. 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 [5]. 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 [6]. 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 (2016). Distributed RAN and backhaul optimization for energy efficient wireless networks [7]. 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 [8]. Preprint available at: arXiv:1607.04754, 8 pages, 6 figures

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Daniyal Amir Awan
Wissenschaftlicher Mitarbeiter
Network Information Theory
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