Channel Estimation Performance Analysis of FBMCOQAM Systems with Bayesian Approach for 5G-Enabled IoT Applications
Joint Authors
Wang, Xianpeng
Yu, Guicai
Wang, Han
Du, Wencai
Xu, Lingwei
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-04
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
A filter bank multicarrier (FBMC) with offset quadrature amplitude modulation (OQAM) (FBMC/OQAM) is considered to be one of the physical layer technologies in future communication systems, and it is also a wireless transmission technology that supports the applications of Internet of Things (IoT).
However, efficient channel parameter estimation is one of the difficulties in realization of highly available FBMC systems.
In this paper, the Bayesian compressive sensing (BCS) channel estimation approach for FBMC/OQAM systems is investigated and the performance in a multiple-input multiple-output (MIMO) scenario is also analyzed.
An iterative fast Bayesian matching pursuit algorithm is proposed for high channel estimation.
Bayesian channel estimation is first presented by exploring the prior statistical information of a sparse channel model.
It is indicated that the BCS channel estimation scheme can effectively estimate the channel impulse response.
Then, a modified FBMP algorithm is proposed by optimizing the iterative termination conditions.
The simulation results indicate that the proposed method provides better mean square error (MSE) and bit error rate (BER) performance than conventional compressive sensing methods.
American Psychological Association (APA)
Wang, Han& Du, Wencai& Wang, Xianpeng& Yu, Guicai& Xu, Lingwei. 2020. Channel Estimation Performance Analysis of FBMCOQAM Systems with Bayesian Approach for 5G-Enabled IoT Applications. Wireless Communications and Mobile Computing،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1214342
Modern Language Association (MLA)
Wang, Han…[et al.]. Channel Estimation Performance Analysis of FBMCOQAM Systems with Bayesian Approach for 5G-Enabled IoT Applications. Wireless Communications and Mobile Computing No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1214342
American Medical Association (AMA)
Wang, Han& Du, Wencai& Wang, Xianpeng& Yu, Guicai& Xu, Lingwei. Channel Estimation Performance Analysis of FBMCOQAM Systems with Bayesian Approach for 5G-Enabled IoT Applications. Wireless Communications and Mobile Computing. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1214342
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214342