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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

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Showing eess.SPShow all

9 papers · 1 filter

eess.SP2020

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…

eess.SP2020

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…

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…

eess.SP2018

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…

eess.SP2018★ 1 cited

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…

eess.SP2018

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…

eess.SP2018

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…