A Simple Phase Noise Suppression Scheme for Massive MIMO Uplink Systems

In wireless communications, massive multiple-input multiple-output (MIMO) uplink systems in which the base station is equipped with a large number of antennas can provide significant spectral and energy efficiency by means of simple signal processing. Therefore, massive MIMO uplink systems are an at...

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Bibliographic Details
Published inIEEE transactions on vehicular technology Vol. 66; no. 6; pp. 4769 - 4780
Main Authors Wang, Yi-Fan, Lee, Ju-Hong
Format Journal Article
LanguageEnglish
Published New York IEEE 01.06.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Channel estimation
Codes
Complexity
Complexity theory
Detection
Detectors
Estimation
massive multiple-input multiple-output (MIMO)
MIMO
MIMO (control systems)
Noise
Noise reduction
Oscillators
Phase noise
phase noise (PN)
receiver
Signal processing
Training
Uplink
Upper bounds
Wireless communication systems
Wireless communications
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Summary:In wireless communications, massive multiple-input multiple-output (MIMO) uplink systems in which the base station is equipped with a large number of antennas can provide significant spectral and energy efficiency by means of simple signal processing. Therefore, massive MIMO uplink systems are an attractive technology for next-generation wireless systems and for green communications. However, phase noise (PN) introduced by the impairment of oscillators can cause a severe performance loss in wireless communication systems. Solving the PN problem for massive MIMO uplink systems is challenging as it is a multivariate joint PN estimation and data detection problem. The optimal solution is difficult to derive and may lead to high complexity. In this paper, we propose a low-complexity PN suppression scheme based on the zero-forcing detector to solve this problem. By using the ideal PN free output signal-to-noise ratio (SNR) as a performance upper bound, simulation results show that when the required SNR is satisfied, the output SNR of the proposed scheme can approach the upper bound, except for very large PN variances. Moreover, the complexity of the proposed scheme is low because the proposed scheme can update the current PN estimation and data detection by the previous ones via a simple iterative process.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2016.2614604