33 citations · 86 across the 15 of their papers we have counts for
16 papers
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…
Channel Estimation in C-V2X using Deep Learning
Raja Sattiraju, Andreas Weinand, Hans D. Schotten
Channel estimation forms one of the central component in current OFDM systems that aims to eliminate the inter-symbol interference by calculating the CSI using the pilot symbols an…
Link Level Performance Comparison of C-V2X and ITS-G5 for Vehicular Channel Models
Raja Sattiraju, Donglin Wang, Andreas Weinand +1
V2X communications plays a significant role in increasing traffic safety and efficiency by enabling vehicles to exchange their status information with other vehicles and traffic en…
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…
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…
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…
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…
Reliability Modeling, Analysis and Prediction of Wireless Mobile Communications
Raja Sattiraju, Hans D. Schotten
The future Fifth Generation (5G) mobile cellular networks that are currently in research phase today enable broad range of services/applications beyond classical mobile communicati…
Machine Learning Based Obstacle Detection for Automatic Train Pairing
Raja Sattiraju, Jacob Kochems, Hans D. Schotten
Short Range wireless devices are becoming more and more popular for ubiquitous sensor and actuator connectivity in industrial communication scenarios. Apart from communication-only…
Design of a Highly Reliable Wireless Module for Ultra-Low-Latency Short Range Applications
Raja Sattiraju, Jasper Siemons, Mohammad Soliman +3
Current radio systems are currently optimized for capacity and range. However, certain applications of wireless systems require fast and reliable communication over short distances…
Performance Analysis of Deep Learning based on Recurrent Neural Networks for Channel Coding
Raja Sattiraju, Andreas Weinand, Hans D. Schotten
Channel Coding has been one of the central disciplines driving the success stories of current generation LTE systems and beyond. In particular, turbo codes are mostly used for cell…
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…
Cyber-Automotive Simulation and Evaluation Platform for Vehicular Value Added Services
Raja Sattiraju, Pratip Chakraborty, Hans D. Schotten +2
An easily moving and safe transportation is an indicator in any country in the world of economic growth and well-being. For the past 100 years, innovation within the automotive sec…