33 citations · 86 across the 15 of their papers we have counts for
6 papers · 1 filter
Effect of Variable Physical Numerologies on Link-Level Performance of 5G NR V2X
Donglin Wang, Oneza Saraci, Raja R. Sattiraju +2
With technology and societal development, the 5th generation wireless communication (5G) contributes significantly to different societies like industries or academies. Vehicle-to-E…
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…
Effect of Retransmissions on the Performance of C-V2X Communication for 5G
Donglin Wang, Raja R. Sattiraju, Anjie Qiu +2
In recent years, the next generation of wireless communication (5G) plays a significant role in both industry and academy societies. Cellular Vehicle-to-Everything (C-V2X) communic…
Performances of C-V2X Communication on Highway under Varying Channel Propagation Models
Donglin Wang, Raja R. Sattiraju, Hans D. Schotten
In recent decades, both the industry and the academy society are sparing no efforts to develop and standardize the Cellular-Vehicle-to-Everything (C-V2X) communication which is one…
System-Level Simulator of LTE Sidelink C-V2X Communication for 5G
Donglin Wang, Raja R. Sattiraju, Andreas Weinand +1
In recent years, Cellular-Vehicle-to-Everything (CV2X) has been an emerging area of interest attracting both the industry and academy societies to develop, which is also a prominen…
Application of Machine Learning for Channel based Message Authentication in Mission Critical Machine Type Communication
Andreas Weinand, Michael Karrenbauer, Raja Sattiraju +1
The design of robust wireless communication systems for industrial applications such as closed loop control processes has been considered manifold recently. Additionally, the ongoi…