RETRACTED: Hybrid multibeam forming and multiuser detection technique for MU-MIMO system
International Journal of Intelligent Unmanned Systems
ISSN: 2049-6427
Article publication date: 8 March 2021
Issue publication date: 7 January 2022
Retraction notice
The publishers of the International Journal of Intelligent Unmanned Systems wish to retract the article: Kumari, D.L. and Prasad, M.N.G. (2022), “Hybrid multibeam forming and multiuser detection technique for MU-MIMO system”, International Journal of Intelligent Unmanned Systems, Vol. 10 No. 1, pp. 200-209. https://doi.org/10.1108/IJIUS-09-2020-0055
An internal investigation into a series of submissions has uncovered evidence that the peer review process was compromised. As a result of these concerns, the findings of the article cannot be relied upon. This decision has been taken in accordance with Emerald’s publishing ethics and the COPE guidelines on retractions.
Despite numerous attempts to contact the authors, the journal has received no response; the response of the authors would be gratefully received
The publishers of the journal sincerely apologize to the readers.
Abstract
Purpose
In recent years, multiuser-multiple-input multiple-output (MU-MIMO)-based wireless communication system has emerged as a prominent 5G technique that has several advantages over conventional MIMO systems such as high data rate and channel capacity. In this paper, the authors introduce a novel low-complexity radix factorization-based fast Fourier transform (FFT) as a multibeamformer and maximal likelihood-MU detection (ML-MUD) techniques as an optimal signal subdetector which results with considerable complexity reduction with intolerable error rate performance.
Design/methodology/approach
The proposed radix-factorized FFT-multibeamforming (RF-FFT-MBF) architectures have the potential to reduce both hardware complexity and energy consumptions as compared to its state-of-the-art methods while meeting the throughput requirements of emerging 5G devices. Here through simulation results, the efficiency of the scaled ML subdetector system is compared with the conventional ML detectors.
Findings
Here through simulation results, the efficiency of the scaled ML subdetector system is compared with the conventional ML detectors. Through experimental results, it is well proved that the proposed detector offers significant hardware and energy efficiency with the least possible error rate performance overhead.
Originality/value
Here through simulation results, the efficiency of the scaled ML subdetector system is compared with the conventional ML detectors. Through experimental results, it is well proved that the proposed detector offers significant hardware and energy efficiency with the least possible error rate performance overhead.
Keywords
Citation
Kumari, D.L. and Prasad, M.N.G. (2022), "RETRACTED: Hybrid multibeam forming and multiuser detection technique for MU-MIMO system", International Journal of Intelligent Unmanned Systems, Vol. 10 No. 1, pp. 200-209. https://doi.org/10.1108/IJIUS-09-2020-0055
Publisher
:Emerald Publishing Limited
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