11 papers · 1 filter
LOCUS-DT: Localization via Observation-Conditioned Uncertainty Scoring with Digital Twins
Haozhe Lei, Roberto Bomfin, Marwa Chafii +1
Accurate indoor localization is essential for emerging applications in robotic navigation and search and rescue. While classical methods typically focus on single-point estimates,…
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…
Near Field Multi-Band Localization: CRB, Efficient Estimator, and Threshold SNR
Roberto Bomfin, Marco Mezzavilla, Sundeep Rangan +1
This paper presents a theoretical framework for multi-band localization for a single-path single-input multiple-output (SIMO) system. We derive closed-form Cramer-Rao bounds (CRBs)…
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…
Scalable Long-Term Beamforming for Massive Multi-User MIMO
Ali Rasteh, Amirreza Kiani, Marco Mezzavilla +1
Fully digital massive MIMO systems with large numbers (1000+) of antennas offer dramatically increased capacity gains from spatial multiplexing and beamforming. Designing digital r…
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…