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Reduced Complexity Maximum Likelihood Detector for DFT-s-SEFDM Systems

Wu, T; Grammenos, R; (2019) Reduced Complexity Maximum Likelihood Detector for DFT-s-SEFDM Systems. In: Proceedings of the 27th European Signal Processing Conference (EUSIPCO). IEEE Green open access

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Abstract

In this paper, we report on the design of a Complexity-Reduced Maximum Likelihood (CRML) detector for DFT-spread Spectrally Efficient Frequency Division Multiplexing (DFT-s-SEFDM) systems. DFT-s-SEFDM systems are similar to DFT-spread Orthogonal Frequency Division Multiplexing (DFT-s-OFDM) systems, yet offer improved spectral efficiency. Simulation results demonstrate that the CRML detector can achieve the same bit error rate (BER) performance as the ML detector in DFT-s-SEFDM systems at reduced computational complexity. Specifically, compared to a conventional ML detector, it is shown that CRML can decrease the search region by up to 2^{M} times where M denotes the constellation cardinality. Depending on parameter configuration, CRML can offer up to two orders of magnitude improvement in execution runtime performance. CRML is best-suited to applications with small system sizes, for example, in narrowband Internet of Things (NB-IoT) networks.

Type: Proceedings paper
Title: Reduced Complexity Maximum Likelihood Detector for DFT-s-SEFDM Systems
Event: 27th European Signal Processing Conference (EUSIPCO)
Dates: 02 September 2019 - 06 September 2019
ISBN-13: 978-9-0827-9703-9
Open access status: An open access version is available from UCL Discovery
DOI: 10.23919/eusipco.2019.8902942
Publisher version: https://doi.org/10.23919/EUSIPCO.2019.8902942
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: SEFDM, DFT-s-SEFDM, BER, maximum-likelihood (ML), reduced complexity detector, NB-IoT
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10086611
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