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
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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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