Joint Spectrum Sensing of Wideband Frequency and Angular Spectrum based on Sub-Nyquist Sampling

Abstract

Advanced spectrum sharing technology for future 5G and Beyond 5G (B5G) networks have the potential to achieve higher spectrum utilization efficiency by utilizing knowledge of the carrier frequency and angle-of-arrival (AOA) of the signals emitted from multiple base stations. In this paper, an algorithm to perform wideband spectrum sensing along the frequency and angular domains simultaneously utilizing sub-Nyquist analog-to-digital converters (ADC) is proposed. The proposed algorithm is developed based on the conventional multi-coset sampling (MCS) algorithm in order to support AOA estimation, and is expressed as a typical compressive sensing problem. Spectrum sensing performance is evaluated using Monte Carlo simulation, and results show that it can successfully sense the wideband two-dimensional spectrum without the need for high-rate ADCs.