Angular Domain Data-Assisted Channel Estimation for Pilot Decontamination in Massive MIMO
Joint Authors
Ruttik, Kalle
Beyene, Yihenew
Jäntti, Riku
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-01-26
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Telecommunications Engineering
Abstract EN
Massive Multiple-Input-Multiple-Output (M-MIMO) system is a promising technology that offers to mobile networks substantial increase in throughput.
In Time-Division Duplexing (TDD), the uplink training allows a Base Station (BS) to acquire Channel State Information (CSI) for both uplink reception and downlink transmission.
This is essential for M-MIMO systems where downlink training pilots would consume large portion of the bandwidth.
In densely populated areas, pilot symbols are reused among neighboring cells.
Pilot contamination is the fundamental bottleneck on the performance of M-MIMO systems.
Pilot contamination effect in antenna arrays can be mitigated by treating the channel estimation problem in angular domain where channel sparsity can be exploited.
In this paper, we introduce a codebook that projects the channel into orthogonal beams and apply Minimum Mean-Squared Error (MMSE) criterion to estimate the channel.
We also propose data-aided channel covariance matrix estimation algorithm for angular domain MMSE channel estimator by exploiting properties of linear antenna array.
The algorithm is based on simple linear operations and no matrix inversion is involved.
Numerical results show that the algorithm performs well in mitigating pilot contamination where the desired channel and other interfering channels span overlapping angle-of-arrivals.
American Psychological Association (APA)
Beyene, Yihenew& Ruttik, Kalle& Jäntti, Riku. 2017. Angular Domain Data-Assisted Channel Estimation for Pilot Decontamination in Massive MIMO. Mobile Information Systems،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1188987
Modern Language Association (MLA)
Beyene, Yihenew…[et al.]. Angular Domain Data-Assisted Channel Estimation for Pilot Decontamination in Massive MIMO. Mobile Information Systems No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1188987
American Medical Association (AMA)
Beyene, Yihenew& Ruttik, Kalle& Jäntti, Riku. Angular Domain Data-Assisted Channel Estimation for Pilot Decontamination in Massive MIMO. Mobile Information Systems. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1188987
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1188987