Raja Sattiraju

发表

Performance Analysis of Deep Learning based on Recurrent Neural Networks for Channel Coding

Raja Sattiraju, Andreas Weinand, Hans D. Schotten, 2018, 2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS).

Availability indication as key enabler for ultra-reliable communication in 5G

Raja Sattiraju, Hans D. Schotten, Zhe Ren, 2014, 2014 European Conference on Networks and Communications (EuCNC).

Reliability analysis of a wireless transmission as a repairable system

Raja Sattiraju, Hans D. Schotten, Pratip Chakraborty, 2014, 2014 IEEE Globecom Workshops (GC Wkshps).

Virtual Cell Sectoring for Enhancing Resource Allocation and Reuse in Network Controlled D2D Communication

Chan Zhou, Raja Sattiraju, Hans D. Schotten, 2015, 2015 IEEE 81st Vehicular Technology Conference (VTC Spring).

Channel Estimation in C-V2X using Deep Learning

Raja Sattiraju, Andreas Weinand, Hans D. Schotten, 2019, 2019 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS).

Supervised Learning for Physical Layer Based Message Authentication in URLLC Scenarios

Raja Sattiraju, Andreas Weinand, Hans D. Schotten, 2019, 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall).

System-Level Simulator of LTE Sidelink C-V2X Communication for 5G pdf

Raja Sattiraju, Andreas Weinand, Hans D. Schotten, 2019, ArXiv.

Performances of C-V2X Communication on Highway under Varying Channel Propagation Models

Raja Sattiraju, Hans D. Schotten, Donglin Wang, 2018, 2018 10th International Conference on Communications, Circuits and Systems (ICCCAS).

Dynamic Context-Aware Optimization of D2D Communications

Raja Sattiraju, Hans D. Schotten, Nandish P. Kuruvatti, 2014, 2014 IEEE 79th Vehicular Technology Conference (VTC Spring).

Achievable Performance Gains Using Movement Prediction and Advanced 3D System Modeling

Raja Sattiraju, Hans D. Schotten, Andreas Klein, 2014, 2014 IEEE 79th Vehicular Technology Conference (VTC Spring).

Reliability Modeling, Analysis and Prediction of Wireless Mobile Communications

Raja Sattiraju, Hans D. Schotten, H. Schotten, 2014, 2014 IEEE 79th Vehicular Technology Conference (VTC Spring).

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

Raja Sattiraju, Andreas Weinand, Hans D. Schotten, 2019, 1908.09523.

Design of a highly reliable wireless module for ultra-low-latency short range applications

Raja Sattiraju, Hans D. Schotten, Mohammad Soliman, 2017, 2017 IEEE 13th International Workshop on Factory Communication Systems (WFCS).

Cyber-Automotive Simulation and Evaluation Platform for Vehicular Value Added Services pdf

Raja Sattiraju, Hans D. Schotten, Xiaohai Lin, 2017, ArXiv.

Robustness of Location Based D2D Resource Allocation against Positioning Errors

Chan Zhou, Raja Sattiraju, Hans D. Schotten, 2015, 2015 IEEE 81st Vehicular Technology Conference (VTC Spring).

Machine learning based obstacle detection for Automatic Train Pairing

Raja Sattiraju, Hans D. Schotten, Jacob Kochems, 2017, 2017 IEEE 13th International Workshop on Factory Communication Systems (WFCS).

Application of Machine Learning for Channel based Message Authentication in Mission Critical Machine Type Communication pdf

Raja Sattiraju, Andreas Weinand, Hans D. Schotten, 2017, ArXiv.

Effect of Spatial, Temporal and Network Features on Uplink and Downlink Throughput Prediction

Gerhard Fettweis, Slawomir Stanczak, Martin Kasparick, 2021, 2021 IEEE 4th 5G World Forum (5GWF).

AI4Mobile: Use Cases and Challenges of AI-based QoS Prediction for High-Mobility Scenarios

Gerhard Fettweis, Slawomir Stanczak, Martin Kasparick, 2021, 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring).

Network under Control: Multi-Vehicle E2E Measurements for AI-based QoS Prediction

Gerhard Fettweis, Slawomir Stanczak, Martin Kasparick, 2021, 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC).