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From the 1 of 8 linked papers with an AI index.

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8 papers

eess.SP2026

Power Reduction in Heterogeneous Wireless Sensor Networks via Source-Aware Allocation

Mauro Marchese, Pietro Savazzi

The paper derives a minimum SNR bound for reconstructing analog signals in heterogeneous wireless sensor networks using the Rényi information dimension, and proposes a cross‑layer…

eess.SP2026

Exploiting Structural Sparsity and Delay-Doppler Decoupling for Low-Complexity OTFS-ISAC Receivers

Mauro Marchese, Musa Furkan Keskin, Pietro Savazzi +1

In this work, the problems of channel estimation, radar sensing, and data detection are addressed for monostatic integrated sensing and communications (ISAC) applications within or…

eess.SP2026

Superimposed Cross-Pilots: Addressing Fractional Shifts in DoA-Aided OTFS

Mauro Marchese, Pietro Savazzi

In this work, a novel superimposed pilot scheme, named superimposed cross-pilots, is proposed for fractional parameter estimation in multi-antenna orthogonal time frequency space (…

eess.SP2026

Beyond Legacy OFDM: A Mobility-Adaptive Multi-Gear Framework for 6G

Mauro Marchese, Dario Tagliaferri, Henk Wymeersch +3

While Third Generation Partnership Project (3GPP) has confirmed orthogonal frequency division multiplexing (OFDM) as the baseline waveform for sixth-generation (6G), its performanc…

eess.SP2026

6G OFDM Communications with High Mobility Transceivers and Scatterers via Angle-Domain Processing and Deep Learning

Mauro Marchese, Musa Furkan Keskin, Henk Wymeersch +1

High-mobility communications, which are crucial for next-generation wireless systems, cause the orthogonal frequency division multiplexing (OFDM) waveform to suffer from strong int…

eess.SP2026

Monostatic ISAC Without Full Buffers: Revisiting Spatial Trade-Offs Under Bursty Traffic

Mauro Marchese, Musa Furkan Keskin, Pietro Savazzi +1

This work investigates the spatial trade-offs arising from the design of the transmit beamformer in a monostatic integrated sensing and communication (ISAC) base station (BS) under…