Email this article Position-Aided Fast Beam Training in mm-Wave Multiuser MIMO Systems
- Authors: Xie J.1,2, Jing X.1,2, Huang H.1,2
-
Affiliations:
- Laboratory of Biological Recognition and Information Application, Beijing University of Posts and Telecommunications
- Key Laboratory of Trustworthy Distributed Computing and Service, Ministry of Education, Beijing University of Posts and Telecommunications
- Issue: Vol 64, No 12 (2019)
- Pages: 1391-1397
- Section: Theory and Methods of Signal Processing
- URL: https://ogarev-online.ru/1064-2269/article/view/201650
- DOI: https://doi.org/10.1134/S1064226919120179
- ID: 201650
Cite item
Open Access
Access granted
Subscription Access
Abstract
A position-aided fast beam training in mm-Wave multiuser MIMO systems (PAFBT) method is proposed, in the case of inexact position information. Position information can be used to compute the pointing direction and essentially eliminate the beam alignment overhead. But the incorrect position information will introduce the beam misalignment. To solve the estimated received nodes location uncertainty problem, a beam training scheme is conducted by transmitting the beams to cover critical areas of the received nodes to find out the best transmitter and receiver beams for establishing the links in mm-Wave multiuser MIMO systems. Mathematical and simulation analysis confirm the superiority of the proposed method over the conventional ones in performance.
Keywords
About the authors
J. Xie
Laboratory of Biological Recognition and Information Application, Beijing University of Posts and Telecommunications; Key Laboratory of Trustworthy Distributed Computing and Service, Ministry of Education, Beijing University of Posts and Telecommunications
Author for correspondence.
Email: xiejianxiao@bupt.edu.cn
China, Beijing, 100876; Beijing, 100876
X. Jing
Laboratory of Biological Recognition and Information Application, Beijing University of Posts and Telecommunications; Key Laboratory of Trustworthy Distributed Computing and Service, Ministry of Education, Beijing University of Posts and Telecommunications
Email: xiejianxiao@bupt.edu.cn
China, Beijing, 100876; Beijing, 100876
H. Huang
Laboratory of Biological Recognition and Information Application, Beijing University of Posts and Telecommunications; Key Laboratory of Trustworthy Distributed Computing and Service, Ministry of Education, Beijing University of Posts and Telecommunications
Email: xiejianxiao@bupt.edu.cn
China, Beijing, 100876; Beijing, 100876
Supplementary files
