SOURCE-LINKED INTELLIGENCE

X-RACE: XAI-assisted Recurrent neural network Attribution for Channel Estimation

arXiv · AI, language, vision and robotics · article · Sep 10, 2026 · UTC

Deep learning models, notably Long Short-Term Memory (LSTM), have demonstrated promising performance in channel estimation for high-mobility vehicular environments. However, their black-box nature and architectural overhead limit trustworthiness and efficiency. Classical explainable AI (XAI) methods rely on costly iterative processes, offering only input-level filtering without addressing architectural fine-tuning. To overcome these limitations, this paper proposes the XAI-assisted Recurrent neural network Attribution for Channel Estimation (X-RACE) framework. X-RACE uses a low-complexity, one

Read original source ↗ Open in workspace

recordType

paper

region

Global