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Position‐aided fast millimetre‐wave beam training with compressive sensing

A novel position-aided fast millimetre-wave beam training using compressive sensing (PAF-CS) is proposed. In particular, the position information is used to obtain the angle-of-arrival, and this operation can facilitate beam alignment with significantly reduced system overhead. Aiming to resolve the position uncertainty, the PAF-CS method first identifies a critical area by using the statistical information of the position error, and finds the best beams by using CS method. Theoretical analysis and simulation validate the superiority of the PAF-CS method.