Deep learning-based signal strength prediction using geographical images and expert knowledge
Methods for accurate prediction of radio signal quality parameters are crucial for
optimization of mobile networks, and a necessity for future autonomous driving solutions …
optimization of mobile networks, and a necessity for future autonomous driving solutions …
Towards cooperative data rate prediction for future mobile and vehicular 6G networks
B Sliwa, R Falkenberg… - 2020 2nd 6G Wireless …, 2020 - ieeexplore.ieee.org
Machine learning-based data rate prediction is one of the key drivers for anticipatory mobile
networking with applications such as dynamic Radio Access Technology (RAT) selection …
networking with applications such as dynamic Radio Access Technology (RAT) selection …
PARRoT: Predictive ad-hoc routing fueled by reinforcement learning and trajectory knowledge
Swarms of collaborating Unmanned Aerial Vehicles (UAVs) that utilize ad-hoc networking
technologies for coordinating their actions offer the potential to catalyze emerging research …
technologies for coordinating their actions offer the potential to catalyze emerging research …
Client-based intelligence for resource efficient vehicular big data transfer in future 6G networks
B Sliwa, R Adam, C Wietfeld - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
Vehicular big data is anticipated to become the “new oil” of the automotive industry which
fuels the development of novel crowdsensing-enabled services. However, the tremendous …
fuels the development of novel crowdsensing-enabled services. However, the tremendous …
Machine learning-enabled data rate prediction for 5G NSA vehicle-to-cloud communications
In order to satisfy the ever-growing Quality of Service (QoS) requirements of innovative
services, cellular communication networks are constantly evolving. Recently, the 5G Non …
services, cellular communication networks are constantly evolving. Recently, the 5G Non …
Flying robots for safe and efficient parcel delivery within the COVID-19 pandemic
The integration of small-scale Unmanned Aerial Vehicles (UAVs) into Intelligent
Transportation Systems (ITSs) will empower novel smart-city applications and services. After …
Transportation Systems (ITSs) will empower novel smart-city applications and services. After …
Localizing basestations from end-user timing advance measurements
Although mobile communication has become ubiquitous in our modern society, operators
typically treat the underlying networking infrastructure in a secretive manner. However …
typically treat the underlying networking infrastructure in a secretive manner. However …
DRaGon: Mining latent radio channel information from geographical data leveraging deep learning
Radio channel modeling is one of the most fundamental aspects in the process of designing,
optimizing, and simulating wireless communication networks. In this field, long-established …
optimizing, and simulating wireless communication networks. In this field, long-established …
Simulating hybrid aerial-and ground-based vehicular networks with ns-3 and LIMoSim
Integrating Unmanned Aerial Vehicles (UAVs) into future Intelligent Transportation Systems
(ITSs) allows to exploit their unique mobility potentials for improving the performance of …
(ITSs) allows to exploit their unique mobility potentials for improving the performance of …
TinyDRaGon: Lightweight radio channel estimation for 6G pervasive intelligence
Due to the emerging challenges with future 6G networks such as high data rates and the
need for remarkably low latency, future wireless communication systems must be planned …
need for remarkably low latency, future wireless communication systems must be planned …