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

被引：0

作者：

Haniz, Azril ^{[1
]}

Matsumura, Takeshi ^{[1
]}

Kojima, Fumihide ^{[1
]}

机构：

[1] Natl Inst Informat & Commun Technol, Wireless Syst Lab, Yokohama, Kanagawa, Japan

来源：

24TH INTERNATIONAL SYMPOSIUM ON WIRELESS PERSONAL MULTIMEDIA COMMUNICATIONS (WPMC 2021): PAVING THE WAY FOR DIGITAL AND WIRELESS TRANSFORMATION | 2021年

关键词：

Compressive sensing; Spectrum sensing; Angle-of-arrival estimation; 5G; Beyond; Emulator; Cyber-physical system; DOA;

D O I：

10.1109/WPMC52694.2021.9700415

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页数：6

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