Open AccessPilot Decontamination over Time Frequency and Space Domains in Multi-Cell Massive MIMO System
Author(s) -
Lamiae Hachad,
Fatiha Mrabti,
Hicham Ghennioui,
M. Zouak
Publication year - 2018
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v8i5.pp3609-3619
Subject(s) - subspace topology , azimuth , computer science , mimo , noise (video) , algorithm , signal subspace , quadratic equation , signal (programming language) , mathematical optimization , telecommunications , mathematics , artificial intelligence , channel (broadcasting) , geometry , image (mathematics) , programming language
In this article, we show that Pilot contamination problem can be seen as a source separation problem using time, frequency, and space domains. Our method capitalizes on a nonunitary joint diagonalization of spatial quadratic time-frequency (STFD) signal representation to identify the desired and interfering users. We first compute the noise subspace from the STFD matrices selected appropriately. Secondly, we use the noise subspace obtained to estimate the Elevation (El) and the Azimuth (Az) angles for which the MUSIC cost function is maximized. Numerical simulations are provided to illustrate the effectiveness and the behavior of the proposed approach.