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20242026
most citedFull-Duplex Millimeter Wave MIMO Channel Estimation: A Neural Network Approach

12 citations · 12 across the 3 of their papers we have counts for

collaborators

5 papers

eess.SP2026

One-Step Generative CSI Prediction

Mehdi Sattari, Javad Aliakbari, Alexandre Graell i Amat +1

Channel state information (CSI) prediction has emerged as a promising approach for mitigating channel aging in wireless communication systems. Recently, generative models have been…

cs.LG2026

TRACE-CRC: Trajectory-Adaptive Conformal Risk Control for Multi-Step Channel State Information Prediction

Kiarash Rezaei, Mehdi Sattari, Javad Aliakbari +3

Reliable prediction of time-varying channel state information (CSI) is essential for efficient wireless communication. Each CSI frame is a matrix-valued representation of the wirel…

eess.SP2025

CSI Prediction Using Diffusion Models

Mehdi Sattari, Javad Aliakbari, Alexandre Graell i Amat +1

Acquiring accurate channel state information (CSI) is critical for reliable and efficient wireless communication, but challenges such as high pilot overhead and channel aging hinde…

cs.IT2025

Neural CSI Compression Fine-Tuning: Taming the Communication Cost of Model Updates

Mehdi Sattari, Deniz Gündüz, Tommy Svensson

Efficient channel state information (CSI) compression is essential in frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems due to the substantia…

cs.IT2024★ 12 cited

Full-Duplex Millimeter Wave MIMO Channel Estimation: A Neural Network Approach

Mehdi Sattari, Hao Guo, Deniz Gündüz +2

Millimeter wave (mmWave) multiple-input-multi-output (MIMO) is now a reality with great potential for further improvement. We study full-duplex transmissions as an effective way to…