activity
20242026
collaborators

8 papers

cs.RO2026

MAGNETAR: Multipath-Guided Spatial Posteriors for Transmitter Pose Inference in the Upper Mid-Band

Haozhe Lei, Ruibin Chen, Yuhan Jiang +3

Robots that localize a radio transmitter need more than a point estimate: in cluttered rooms, one measurement is often consistent with several transmitter locations and, because up…

eess.SP2026

Efficient Upper Mid-Band Spectrum Sensing with Multiple Signals

Yongjun Kim, Ali Rasteh, Sundeep Rangan +1

Spectrum sensing is a fundamental problem in the upper mid-band, where spectrum resources are shared with incumbent systems. This paper considers frequency-domain occupancy estimat…

eess.SP2026

Low-rank Preconditioning in Beamspace Domain For Massive MU-MIMO Long-Term Beamforming

Amirreza Kiani, Ali Rasteh, Marco Mezzavilla +1

Long-term beamforming substantially reduces the channel estimation and inversion overhead of conventional massive MU-MIMO receivers; yet, its construction still hinges on the inver…

eess.SP2026

Interference Suppression for Massive MU-MIMO Long-Term Beamforming with Matrix Inversion Approximation

Amirreza Kiani, Ali Rasteh, Marco Mezzavilla +1

Long-term beamforming (LTBF) is a widely-used scalable alternative to instantaneous multi-user MIMO processing that leverages slowly varying spatial channel statistics. VLSI implem…

eess.SP2026

A Spatial Array for Spectrally Agile Wireless Processing

Ali Rasteh, Andrew Hennessee, Ishaan Shivhare +3

Massive MIMO is a cornerstone of next-generation wireless communication, offering significant gains in capacity, reliability, and energy efficiency. However, to meet emerging deman…

eess.SP2025

Scalable Long-Term Beamforming for Massive Multi-User MIMO

Ali Rasteh, Amirreza Kiani, Marco Mezzavilla +1

Fully digital massive multiple-input multiple-output (MIMO) systems with large numbers (1000+) of antennas offer capacity gains from spatial multiplexing and beamforming, but recei…

eess.SP2025

Computationally Efficient Signal Detection with Unknown Bandwidths

Ali Rasteh, Sundeep Rangan

Signal detection in environments with unknown signal bandwidth and time intervals is a fundamental problem in adversarial and spectrum-sharing scenarios. This paper addresses the p…

eess.SP2024

Near-Field Measurement System for the Upper Mid-Band

Ali Rasteh, Raghavendra Palayam Hari, Hao Guo +2

The upper mid-band (or FR3, spanning 6-24 GHz) is a crucial frequency range for next-generation mobile networks, offering a favorable balance between coverage and spectrum efficien…