2020/08/13 by Himani Joshi, Joshi, Himani, Sumit J. Darak +5
Engineering · #FOS: Electrical engineering #GNSS positioning and interference #Indoor and Outdoor Localization Technologies #Signal Processing (eess.SP) #Sparse and Compressive Sensing Techniques #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2008.06085
openalex publication_date 2020/08/13 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The emergence of beyond-licensed spectrum sharing in FR1 (0.45-6 GHz) and FR2\n(24 - 52 GHz) along with the multi-antenna narrow-beam based directional\ntransmissions demand a wideband spectrum sensing in temporal as well as spatial\ndomains. We referred to it as ultra-wideband angular spectrum sensing (UWAS),\nand it consists of digitization followed by characterization of the wideband\nspectrum. In this paper, we design and develop state-of-the-art UWAS prototype\nusing USRPs and LabVIEW NXG for the validation in the real-radio environment.\nSince 5G is expected to co-exist with LTE, the transmitter generates the\nmulti-directional multi-user wideband traffic via LTE specific single carrier\nfrequency division multiple access (SC-FDMA) approach. At the receiver, the\nfirst step of wideband spectrum digitization is accomplished using a novel\napproach of integrating sparse antenna-array with reconfigurable sub-Nyquist\nsampling (SNS). The reconfigurable SNS allows the digitization of\nnon-contiguous spectrum via low-rate analog-to-digital converters, but it needs\nintelligence to choose the frequency bands for digitization. We explore the\nmulti-play multi-armed bandit based learning algorithm to embed intelligence.\nCompared to previous works, the proposed characterization (frequency band\nstatus and direction-of-arrival estimation) approach does not need prior\nknowledge of received signal distribution. The detailed experimental results\nfor various spectrum statistics, power gains and antenna array arrangements\nalong with lower complexity validate the functional correctness, superiority\nand feasibility of the proposed UWAS over state-of-the-art approaches.\n