Distributed RAN and backhaul optimization for energy efficient wireless networks. - Daniyal Amir Awan; Renato L. G. Cavalcante; Slawomir Stanczak (GlobalSIP, 2016)

Joint Optimization of Coverage, Capacity and Load Balancing in Self-Organizing Networks. - Qi Liao 003; Daniyal Amir Awan; Slawomir Stanczak (CoRR, 2016)

Set-Theoretic Learning for Detection in Cell-Less C-Ran Systems. - Daniyal Amir Awan; Renato L. G. Cavalcante; Zoran Utkovski; Slawomir Stanczak (GlobalSIP, 2018)

A Robust Machine Learning Method for Cell-Load Approximation in Wireless Networks. - Daniyal Amir Awan; Renato L. G. Cavalcante; Slawomir Stanczak (ICASSP, 2018)

Detection for 5G-NOMA: An Online Adaptive Machine Learning Approach. - Daniyal Amir Awan; Renato L. G. Cavalcante; Masahiro Yukawa; Slawomir Stanczak (ICC, 2018)

Machine Learning-Based Adaptive Receive Filtering: Proof-of-Concept on an SDR Platform. - Matthias Mehlhose; Daniyal Amir Awan; Renato L. G. Cavalcante; Martin Kurras; Slawomir Stanczak (ICC, 2020)

Robust Cell-Load Learning With a Small Sample Set. - Daniyal Amir Awan; Renato L. G. Cavalcante; Slawomir Stanczak (IEEE Trans. Signal Process., 2020)

Robust learning in wireless networks: efficacy of models and prior knowledge in learning from small sample sets. - Daniyal Amir Awan (2021)

GPU-Accelerated Partially Linear Multiuser Detection for 5G and Beyond URLLC Systems. - Matthias Mehlhose; Guillermo Marcus; Daniel Schäufele; Daniyal Amir Awan; Nikolaus Binder; Martin Kasparick 001; Renato L. G. Cavalcante; Slawomir Stanczak; Alexander Keller 001 (IEEE Access, 2022)

Real-Time GPU-Accelerated Machine Learning Based Multiuser Detection for 5G and Beyond. - Matthias Mehlhose; Guillermo Marcus; Daniel Schäufele; Daniyal Amir Awan; Nikolaus Binder; Martin Kasparick 001; Renato L. G. Cavalcante; Slawomir Stanczak; Alexander Keller 001 (CoRR, 2022)

Robust Online Multiuser Detection: A Hybrid Model-Data Driven Approach. - Daniyal Amir Awan; Renato Luís Garrido Cavalcante; Masahiro Yukawa; Slawomir Stanczak (IEEE Trans. Signal Process., 2023)