eess.SP · 2026-09-11 · No. 112

Signal Processing, 2026-09-11.

2 new papers in eess.SP. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

2 entries
  1. 01

    Rethinking Radiomap Blind Prediction with Limited Environment and Configuration Representations

    Xiaojie Li, Yu Han, Han Fang, Shangqing Liu, Shi Jin, Chao-Kai Wen

    eess.SP · cs.LG

    Radiomap blind prediction infers radiomaps from observable representations of the propagation environment and base station (BS) configuration without field measurements. These representations are inherently incomplete and cannot uniquely determine the target radiomap. Under squared loss, we identify the conditional-mean radiomap as the population-optimal deterministic target and decompose domain risk into target-approximation error and...

    arxiv.org/abs/2609.11255 · PDF

  2. 02

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

    Abdul Karim Gizzini, Yahia Medjahdi

    eess.SP · cs.AI

    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...

    arxiv.org/abs/2609.11211 · PDF

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