A Binary Time Series Model of LTE Scheduling for Machine Learning Prediction. - Jonathan Ah Sue; Ralph Hasholzner; Johannes Brendel; Martin Kleinsteuber; Jürgen Teich (FAS*W@SASO/ICCAC, 2016)

Exploiting Predictability in Dynamic Network Communication for Power-Efficient Data Transmission in LTE Radio Systems. - Peter Brand; Jonathan Ah Sue; Johannes Brendel; Joachim Falk; Ralph Hasholzner; Jürgen Teich; Stefan Wildermann (SCOPES, 2017)

Improvements in LTE-Advanced Time Series Prediction with Dimensionality Reduction Algorithms. - Alexandra Mercader; Jonathan Ah Sue; Ralph Hasholzner; Johannes Brendel (5G World Forum, 2018)

Cross-Layer Optimization in Terminals. - Valerio Frascolla; Jonathan Ah Sue; Muhammad Mudussir Ayub; Krzysztof Miesniak; Ralph Hasholzner; Juergen Englisch; Amal Ben Ameur (EUSIPCO, 2018)

Reinforcement Learning for Power-Efficient Grant Prediction in LTE. - Peter Brand; Joachim Falk; Jonathan Ah Sue; Johannes Brendel; Ralph Hasholzner; Jürgen Teich (SCOPES, 2018)

A predictive dynamic power management for LTE-Advanced mobile devices. - Jonathan Ah Sue; Peter Brand; Johannes Brendel; Ralph Hasholzner; Joachim Falk; Jürgen Teich (WCNC, 2018)

Optimizing Exploratory Workflows for Embedded Platform Trace Analysis and Its Application to Mobile Devices. - Jonathan Ah Sue; Peter Brand; Joachim Falk; Ralph Hasholzner; Jürgen Teich (HCI (LBP), 2019)

Clustering-Based Scenario-Aware LTE Grant Prediction. - Peter Brand; Muhammad Sabih; Joachim Falk; Jonathan Ah Sue; Jürgen Teich (WCNC, 2020)

Adaptive Predictive Power Management for Mobile LTE Devices. - Peter Brand; Joachim Falk; Jonathan Ah Sue; Johannes Brendel; Ralph Hasholzner; Jürgen Teich (IEEE Trans. Mob. Comput., 2021)

Supervised Learning Grant Prediction for Cellular Mobile Device Power Savings. - Jonathan Ah Sue (Dr. Hut, 2022)