Methodologies of Link-Level Simulator and System-Level Simulator for C-V2X Communication. - Donglin Wang; Raja R. Sattiraju; Anjie Qiu; Sanket Partani; Hans D. Schotten (CoRR, 2019)

Effect of Retransmissions on the Performance of C-V2X Communication for 5G. - Donglin Wang; Raja R. Sattiraju; Anjie Qiu; Sanket Partani; Hans D. Schotten (VTC Fall, 2020)

Mobility prediction Based on Machine Learning Algorithms. - Donglin Wang; Qiuheng Zhou; Sanket Partani; Anjie Qiu; Hans D. Schotten (CoRR, 2021)

Quantitative Assessment of CCAM Applications on Greenhouse Gas Emissions. - Sanket Partani; Anjie Qiu; Raja Sattiraju; Shruti Tayade; Hans D. Schotten (VTC Spring, 2022)

Evaluating the Impact of Numerology and Retransmission on 5G NR V2X Communication at A System-Level Simulation. - Donglin Wang; Pranav Balasaheb Mohite; Qiuheng Zhou; Anjie Qiu; Hans D. Schotten (CSCN, 2023)

Investigating the Impact of Variables on Handover Performance in 5G Ultra-Dense Networks. - Donglin Wang; Anjie Qiu; Qiuheng Zhou; Sanket Partani; Hans D. Schotten (EuCNC/6G Summit, 2023)

Quantitative Assessment of Penetration Rates of CCAM Applications on GHG Emissions in EU27. - Anjie Qiu; Sanket Partani; Donglin Wang; Hans D. Schotten (VTC2023-Spring, 2023)

Mitigating Unnecessary Handovers in Ultra-Dense Networks through Machine Learning-based Mobility Prediction. - Donglin Wang; Anjie Qiu; Sanket Partani; Qiuheng Zhou; Hans D. Schotten (VTC2023-Spring, 2023)

The Effect of Variable Factors on the Handover Performance for Ultra Dense Network. - Donglin Wang; Anjie Qiu; Qiuheng Zhou; Sanket Partani; Hans D. Schotten (CoRR, 2023)

Advanced Traffic Demand Generation in SUMO: ML-based Prediction of Flow Rate based on Real-world Measured Datasets. - Anjie Qiu; Prapul Alemada Sathish; Donglin Wang; Hans D. Schotten (VTC Spring, 2024)

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications. - Donglin Wang; Anjie Qiu; Qiuheng Zhou; Hans D. Schotten (CoRR, 2025)