Open AccessPosition‐aided fast millimetre‐wave beam training with compressive sensing
Author(s) -
Xie Jianxiao,
Jing Xiaojun,
Gao Hui
Publication year - 2018
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2018.5071
Subject(s) - position (finance) , beam (structure) , millimeter , computer science , overhead (engineering) , millimetre wave , compressed sensing , extremely high frequency , acoustics , electronic engineering , optics , artificial intelligence , physics , engineering , telecommunications , finance , economics , operating system
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.