From the 1 of 5 linked papers with an AI index.
5 papers
Reduced-Observation Approximation of Near-Field Gaussian Covariance Matrices
Marco Moretti
The paper introduces a low‑complexity method to approximate two‑dimensional near‑field Gaussian covariance matrices by using a reduced‑observation representation that avoids full e…
Edge Intelligence for Satellite-based Earth Observation: Scheduling Image Acquisition and Processing
Beatriz Soret, Antonio M. Mercado-MartÃnez, Antonio Jurado-Navas +4
Modern Earth Observation (EO) missions generate massive volumes of imagery that challenge existing downlink and ground-processing capabilities, particularly for time-critical appli…
Near-Field MMSE Channel Estimation for THz RIS-aided Communications with Electromagnetic Interference
Wen-Xuan Long, Marco Moretti, Giacomo Bacci +1
This letter investigates the channel estimation problem in THz wireless communications where a RIS is employed to assist wireless transmission between different devices. Unlike exi…
Channel Estimation for 6G Near-Field Wireless Communications: A Comprehensive Survey
Wen-Xuan Long, Shengyu Ye, Marco Moretti +4
The sixth-generation (6G) wireless systems are expected to adopt extremely large aperture arrays (ELAAs), novel antenna architectures, and operate in extremely high-frequency bands…
Parametric Near-Field MMSE Channel Estimation for sub-THz XL-MIMO Systems
Wen-Xuan Long, Marco Moretti, Michele Morelli +2
Accurate channel estimation is essential for reliable communication in sub-THz extremely large (XL) MIMO systems. Deploying XL-MIMO in high-frequency bands not only increases the n…