Distributed Structured Compressive Sensing-Based Time-Frequency Joint Channel Estimation for Massive MIMO-OFDM Systems
Joint Authors
Zhang, Wenjie
Li, Hui
Jin, Rong
Wei, Shanlin
Cheng, Wei
Kong, Weisi
Liu, Penglu
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-05-02
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Telecommunications Engineering
Abstract EN
In massive multi-input multi-output orthogonal frequency division multiplexing (MIMO-OFDM) systems, accurate channel state information (CSI) is essential to realize system performance gains such as high spectrum and energy efficiency.
However, high-dimensional CSI acquisition requires prohibitively high pilot overhead, which leads to a significant reduction in spectrum efficiency and energy efficiency.
In this paper, we propose a more efficient time-frequency joint channel estimation scheme for massive MIMO-OFDM systems to resolve those problems.
First, partial channel common support (PCCS) is obtained by using time-domain training.
Second, utilizing the spatiotemporal common sparse property of the MIMO channels and the obtained PCCS information, we propose the priori-information aided distributed structured sparsity adaptive matching pursuit (PA-DS-SAMP) algorithm to achieve accurate channel estimation in frequency domain.
Third, through performance analysis of the proposed algorithm, two signal power reference thresholds are given, which can ensure that the signal can be recovered accurately under power-limited noise and accurately recovered according to probability under Gaussian noise.
Finally, pilot design, computational complexity, spectrum efficiency, and energy efficiency are discussed as well.
Simulation results show that the proposed method achieves higher channel estimation accuracy while requiring lower pilot sequence overhead compared with other methods.
American Psychological Association (APA)
Zhang, Wenjie& Li, Hui& Jin, Rong& Wei, Shanlin& Cheng, Wei& Kong, Weisi…[et al.]. 2019. Distributed Structured Compressive Sensing-Based Time-Frequency Joint Channel Estimation for Massive MIMO-OFDM Systems. Mobile Information Systems،Vol. 2019, no. 2019, pp.1-16.
https://search.emarefa.net/detail/BIM-1193725
Modern Language Association (MLA)
Zhang, Wenjie…[et al.]. Distributed Structured Compressive Sensing-Based Time-Frequency Joint Channel Estimation for Massive MIMO-OFDM Systems. Mobile Information Systems No. 2019 (2019), pp.1-16.
https://search.emarefa.net/detail/BIM-1193725
American Medical Association (AMA)
Zhang, Wenjie& Li, Hui& Jin, Rong& Wei, Shanlin& Cheng, Wei& Kong, Weisi…[et al.]. Distributed Structured Compressive Sensing-Based Time-Frequency Joint Channel Estimation for Massive MIMO-OFDM Systems. Mobile Information Systems. 2019. Vol. 2019, no. 2019, pp.1-16.
https://search.emarefa.net/detail/BIM-1193725
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1193725