activity
20172023
most citedMachine Learning for QoS Prediction in Vehicular Communication: Challenges and Solution Approaches

33 citations · 86 across the 15 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

eess.SP2019

Supervised Learning for Physical Layer based Message Authentication in URLLC scenarios

Andreas Weinand, Raja Sattiraju, Michael Karrenbauer +1

PHYSEC based message authentication can, as an alternative to conventional security schemes, be applied within \gls{urllc} scenarios in order to meet the requirement of secure user…

eess.SP2019★ 7 cited

AI-assisted PHY technologies for 6G and beyond wireless networks

Raja Sattiraju, Andreas Weinand, Hans D. Schotten

Machine Learning (ML) and Artificial Intelligence(AI) have become alternative approaches in wireless networksbeside conventional approaches such as model based solutionconcepts. Wh…

eess.SP2019★ 4 cited

Methodologies of Link-Level Simulator and System-Level Simulator for C-V2X Communication

Wang Donglin, Raja R. Sattiraju, Qiu Anjie +2

At the time of the development, standardization, and further improvement are vital to the modern cellular systems such as the next generation wireless communication (5G). Simulatio…

cs.NI2019

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…

cs.NI2019★ 17 cited

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…