University of Oulu

H. Gamage, N. Rajatheva and M. Latva-aho, "Performance and PAPR Analysis of Single-Carrier Massive MIMO Systems with Channel Imperfections," 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall), Toronto, ON, 2017, pp. 1-7. doi: 10.1109/VTCFall.2017.8288033

Performance and PAPR analysis of single-carrier massive MIMO systems with channel imperfections

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Author: Gamage, Heshani1; Rajatheva, Nandana1; Latva-aho, Matti1
Organizations: 1Centre for Wireless Communications, University of Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.1 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2017
Publish Date: 2018-08-07


The performance of a single carrier system employing a large number of antennas is explored in this paper, considering the realizability in the millimeter-Wave (mmWave) range in 5G standardization. A significant disadvantage of Orthogonal Frequency division Multiplexing (OFDM) systems, which are currently being used in 4G LTE downlink, is its large peak-to-average power patio (PAPR). In addition, considering massive multiple-input-multiple-output (MIMO) scenario, implementing Inverse fast Fourier transform(IFFT)/fast Fourier transform(FFT) blocks per antenna branch makes the transceivers susceptible to higher complexity in implementation. A single carrier system has therefore the advantage of being relatively simple at the receiver side. However, due to the precoding needed in the downlink, the PAPR value increases with the number of channel taps. Performance of the system is investigated through simulations for single and multiuser cases with different large antenna configurations. Various channel configurations were considered including channel correlation, a measured channel model, and errors in the channel estimate. It can be seen from the results that single carrier scheme with sufficiently higher number of antennas at the base station side provides good bit error rate (BER) performance.

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Series: IEEE Vehicular Technology Conference
ISSN: 1550-2252
ISSN-L: 1550-2252
ISBN: 978-1-5090-5935-5
ISBN Print: 978-1-5090-5936-2
Pages: 1 - 7
Article number: 17579630
DOI: 10.1109/VTCFall.2017.8288033
Host publication: 2017 IEEE 86 th Vehicular Technology Conference (VTC Fall), Toronto, Canada 24-27 September 2017
Conference: IEEE Vehicular Technology, VTC
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
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