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eess.SP2026
REACH: Interpretability-Driven Feature Identification and Architecture Compression for Multi-Channel Vehicular Channel Estimation
Simbarashe Aldrin Ngorima, Albert Helberg, Marelie H. Davel
Multi-channel mixed-SNR training improves out-of-distribution (OOD) generalisation of deep learning channel estimators for IEEE 802.11p vehicular communications, yet the internal m…
eess.SP2026
Simplified Temporal Convolutional-Based Channel Estimation for a WiFi Vehicular Communication Channel
Simbarashe Aldrin Ngorima, Albert Helberg, Marelie Davel
Channel estimation in vehicular communication is a crucial element in the advancement of intelligent transportation systems. However, the use of pilot signals in the IEEE 802.11p s…
eess.SP2025
A Data Pilot-Aided Temporal Convolutional Network for Channel Estimation in IEEE 802.11p Vehicle-to-Vehicle Communications
Simbarashe Aldrin Ngorima, Albert Helberg, Marelie H. Davel
In modern communication systems, having an accurate channel estimator is crucial. However, when there is mobility, it becomes difficult to estimate the channel and the pilot signal…