eess.SP · 2026-06-11 · No. 20

Signal Processing, 2026-06-11.

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

    NARRAS: Edge-Triggered Distributed Inference for CSI-Based Localization in Vehicular IoT Networks

    Rodrigo Oliver, Ricardo Vazquez Alvarez, Alejandro Lancho, Stefano Rini

    eess.SP · cs.LG

    CSI-based localization with spatially distributed antenna arrays exposes a basic resource trade-off. Each array can provide a rich view of the channel, but forwarding observations from all arrays to a fusion center is wasteful when only a few carry useful information, and the shared uplink supports only a limited number of simultaneous transmissions. We let each array decide locally whether its current observation is worth reporting, subject...

    arxiv.org/abs/2606.11914 · PDF

  2. 02

    REACH: Interpretability-Driven Feature Identification and Architecture Compression for Multi-Channel Vehicular Channel Estimation

    Simbarashe Aldrin Ngorima, Albert Helberg, Marelie H. Davel

    eess.SP · cs.LG

    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 mechanism responsible for this remains unexplained. This work presents REACH (Relevance-based Explanation and Architectural Compression for cHannel estimators), a gradient-based interpretability framework that operates at two levels. Input-level attribution...

    arxiv.org/abs/2606.11857 · PDF

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