Daniyal Amir Awan

16 papers Misc 1Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2023 J jnl
Robust Online Multiuser Detection: A Hybrid Model-Data Driven Approach.
IEEE Trans. Signal Process.
Daniyal Amir Awan, Renato Luís Garrido Cavalcante, Masahiro Yukawa, Slawomir Stanczak
2022 J jnl
GPU-Accelerated Partially Linear Multiuser Detection for 5G and Beyond URLLC Systems.
IEEE Access
Matthias Mehlhose, Guillermo Marcus, Daniel Schäufele, Daniyal Amir Awan, Nikolaus Binder, Martin Kasparick, Renato L. G. Cavalcante, Slawomir Stanczak, Alexander Keller
2022 J jnl
Real-Time GPU-Accelerated Machine Learning Based Multiuser Detection for 5G and Beyond.
CoRR
Matthias Mehlhose, Guillermo Marcus, Daniel Schäufele, Daniyal Amir Awan, Nikolaus Binder, Martin Kasparick, Renato L. G. Cavalcante, Slawomir Stanczak, Alexander Keller
2021 J jnl
Robust Cell-Load Learning with a Small Sample Set.
CoRR
Daniyal Amir Awan, Renato L. G. Cavalcante, Slawomir Stanczak
2021 — —
Robust learning in wireless networks: efficacy of models and prior knowledge in learning from small sample sets.
Daniyal Amir Awan
2021 J jnl
Set-Theoretic Learning for Detection in Cell-Less C-RAN Systems.
CoRR
Daniyal Amir Awan, Renato L. G. Cavalcante, Zoran Utkovski, Slawomir Stanczak
2020 — conf
Machine Learning-Based Adaptive Receive Filtering: Proof-of-Concept on an SDR Platform.
ICC
Matthias Mehlhose, Daniyal Amir Awan, Renato L. G. Cavalcante, Martin Kurras, Slawomir Stanczak
2020 J jnl
Robust Cell-Load Learning With a Small Sample Set.
IEEE Trans. Signal Process.
Daniyal Amir Awan, Renato L. G. Cavalcante, Slawomir Stanczak
2019 J jnl
Machine Learning-Based Adaptive Receive Filtering: Proof-of-Concept on an SDR Platform.
CoRR
Matthias Mehlhose, Daniyal Amir Awan, Renato L. G. Cavalcante, Martin Kurras, Slawomir Stanczak
2018 Misc conf
A Robust Machine Learning Method for Cell-Load Approximation in Wireless Networks.
ICASSP
Daniyal Amir Awan, Renato L. G. Cavalcante, Slawomir Stanczak
2018 — conf
Detection for 5G-NOMA: An Online Adaptive Machine Learning Approach.
ICC
Daniyal Amir Awan, Renato L. G. Cavalcante, Masahiro Yukawa, Slawomir Stanczak
2018 — conf
Set-Theoretic Learning for Detection in Cell-Less C-Ran Systems.
GlobalSIP
Daniyal Amir Awan, Renato L. G. Cavalcante, Zoran Utkovski, Slawomir Stanczak
2017 J jnl
A robust machine learning method for cell-load approximation in wireless networks.
CoRR
Daniyal Amir Awan, Renato L. G. Cavalcante, Slawomir Stanczak
2017 J jnl
Detection for 5G-NOMA: An Online Adaptive Machine Learning Approach.
CoRR
Daniyal Amir Awan, Renato L. G. Cavalcante, Masahiro Yukawa, Slawomir Stanczak
2016 — conf
Distributed RAN and backhaul optimization for energy efficient wireless networks.
GlobalSIP
Daniyal Amir Awan, Renato L. G. Cavalcante, Slawomir Stanczak
2016 J jnl
Joint Optimization of Coverage, Capacity and Load Balancing in Self-Organizing Networks.
CoRR
Qi Liao, Daniyal Amir Awan, Slawomir Stanczak