Multi-Step Ahead Grant Prediction for Dynamic Power Management in Cellular Modems

P Brand, J Falk, E Potwigin… - … Symposium on Networks …, 2021 - ieeexplore.ieee.org
Reducing the energy consumption is an important objective in the development of cellular
modems for LTE and 5G standards. In addition to hardware optimizations, Dynamic Power …

Adaptive predictive power management for mobile LTE devices

P Brand, J Falk, JA Sue, J Brendel… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Reducing the energy consumption of mobile phones is a crucial design goal for cellular
modem solutions for LTE and 5G NR standards. Most dynamic power management …

Clustering-based scenario-aware lte grant prediction

P Brand, M Sabih, J Falk, JA Sue… - 2020 IEEE Wireless …, 2020 - ieeexplore.ieee.org
Reducing the energy consumption of mobile phones is a crucial design goal for cellular
modem solutions for LTE and 5G standards. Recent approaches for dynamic power …

Grant prediction-based dynamic power management for 5g to reduce mobile device energy consumption

P Brand, B Hackenberg, J Falk… - … and Mobile Computing …, 2022 - ieeexplore.ieee.org
Reducing the energy consumption of mobile phones is an essential design goal. Whereas
Dynamic Power Management (DPM) techniques have been proposed for cellular modems …

A predictive dynamic power management for LTE-Advanced mobile devices

JA Sue, P Brand, J Brendel… - 2018 IEEE Wireless …, 2018 - ieeexplore.ieee.org
Power consumption is a key challenge for LTE-Advanced or future 5G mobile devices and
current power management systems successfully achieve significant power savings …

A Fine-grained Event-based Modem Power Model for Enabling In-depth Modem Energy Drain Analysis

X Chen, J Meng, YC Hu, M Gupta… - Abstracts of the 2018 …, 2018 - dl.acm.org
Cellular modems enable ubiquitous Internet connectivities to modern smartphones, but in
doing so they become a major contributor to the smartphone energy drain. Understanding …

Reinforcement learning for power-efficient grant prediction in lte

P Brand, J Falk, JA Sue, J Brendel… - Proceedings of the 21st …, 2018 - dl.acm.org
Reducing the energy consumption of mobile phones is a major concern in the design of
cellular modem solutions for LTE and 5G standards. Apart from optimizing hardware for …

Late breaking results: Reinforcement learning-based power management policy for mobile device systems

E Kwon, S Han, Y Park, YH Kim… - 2020 57th ACM/IEEE …, 2020 - ieeexplore.ieee.org
This paper presents a power management policy that exploits reinforcement learning to
increase power efficiency of mobile device systems. Our Q-learning-based policy predicts a …

Intelligent RAN Power Saving using Balanced Model Training in Cellular Networks

V Singh, M Gupta, C Maciocco - 2022 20th International …, 2022 - ieeexplore.ieee.org
optimizing power consumption of 5G systems and next generation technology deployments
is a critical problem. It is essential that the solution for optimizing power consumption takes …

A fine-grained event-based modem power model for enabling in-depth modem energy drain analysis

X Chen, J Meng, YC Hu, M Gupta… - Proceedings of the …, 2017 - dl.acm.org
Cellular modems enable ubiquitous Internet connectivities to modern smartphones, but in
doing so they become a major contributor to the smartphone energy drain. Understanding …