34 citations · 73 across the 12 of their papers we have counts for
8 papers · 1 filter
Improving QoS Prediction in Urban V2X Networks by Leveraging Data from Leading Vehicles and Historical Trends
Sanket Partani, Michael Zentarra, Anthony Kiggundu +1
With the evolution of Vehicle-to-Everything (V2X) technology and increased deployment of 5G networks and edge computing, Predictive Quality of Service (PQoS) is seen as an enabler…
Enabling Mobility-Oriented JCAS in 6G Networks: An Architecture Proposal
Philipp Rosemann, Sanket Partani, Marc Miranda +14
Sensing plays a crucial role in autonomous and assisted vehicular driving, as well as in the operation of autonomous drones. The traditional segregation of communication and onboar…
Investigating the Impact of Variables on Handover Performance in 5G Ultra-Dense Networks
Donglin Wang, Anjie Qiu, Qiuheng Zhou +2
The advent of 5G New Radio (NR) technology has revolutionized the landscape of wireless communication, offering various enhancements such as elevated system capacity, improved spec…
Mitigating Unnecessary Handovers in Ultra-Dense Networks through Machine Learning-based Mobility Prediction
Donglin Wang, Anjie Qiu, Sanket Partani +2
In 5G wireless communication, Intelligent Transportation Systems (ITS) and automobile applications, such as autonomous driving, are widely examined. These applications have strict…
Machine Learning for QoS Prediction in Vehicular Communication: Challenges and Solution Approaches
Alexandros Palaios, Christian L. Vielhaus, Daniel F. Külzer +11
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…
The Effect of Variable Factors on the Handover Performance for Ultra Dense Network
Donglin Wang, Anjie Qiu, Qiuheng Zhou +2
With wireless communication technology development, the 5G New Radio (NR) has been proposed and developed for a decade. This advanced mobile communication technology has more advan…