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In the 3.5 GHz citizen broadband radio service (CBRS) band, accurate path loss prediction is very important to protect the incumbent from harmful interference
Raied Caromi, Alex Lackpour, Kassem Kallas, Thao T. Nguyen
This paper presents a comprehensive framework for generating radio frequency (RF) datasets, designing deep learning (DL) detectors, and evaluating their
We present a simplified method for protecting an incumbent in shared spectrum when the secondary users are managed by independent spectrum access systems (SASs)
The 3.5 GHz citizens broadband radio service (CBRS) band in the U.S. is a key portion of mid- band spectrum shared between commercial operators and existing
Federal Communications Commission rules for the 3.5 GHz Citizens Broadband Radio Service permit commercial systems to share 150 MHz of bandwidth with federal
patent description The invention is a new method for protecting an incumbent in shared radio frequency spectrum from aggregate interference exceeding a specified percentile from emitters managed by multiple Spectrum Access Systems (SASs). The novelty of this method is that each SAS can independently