Nowadays, on-board sensor data is primarily used to detect nascent threats during
automated driving. Since the range of this data is locally restricted, centralized server …

Predicting mobile network parameters while driving is a challenge. The high dynamics and
the mobility of the clients lead to spontaneous changes in the communication quality. There …

Mobile communication has become a part of everyday life and is considered to support
reliability and safety in traffic use cases such as conditionally automated driving …

As cellular networks evolve towards the 6th generation, machine learning is seen as a key
enabling technology to improve the capabilities of the network. Machine learning provides a …

Highly automated vehicles will change the future of our personal mobility. To ensure safety
and comfort while driving its passengers, the vehicle has to rely on the newest traffic and …

To enable highly automated driving and the associated comfort services for the driver,
vehicles require a reliable and constant cellular data connection. However, due to their …

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 …

Vehicle-to-Vehicle (V2V) communication becomes an emerging topic because of its
capability to provide efficient solution which guarantees more pleasant driving environment …

An important use case in fifth generation systems are vehicular applications, where,
reliability and low latency are the main requirements. In order to determine if a vehicular …

The integration of functions into future communication systems that predict crucial Quality of
Service (QoS) parameters is expected to enable many new or enhanced use cases, for …