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Energy and Spectrally Efficient Signalling for Next Generation IoT

Liu, X; Darwazeh, I; (2022) Energy and Spectrally Efficient Signalling for Next Generation IoT. In: 2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2022. (pp. pp. 202-207). IEEE: Porto, Portugal. Green open access

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Abstract

This work proposes an energy and spectrally efficient signalling technique for the next generation internet of things (IoT). The signalling method employs the bandwidth compressed fast-orthogonal frequency division multiplexing (FOFDM) scheme with the single dimensional pulse amplitude modulation (PAM) as well as the frequency orthogonal filtering technique using Hilbert transform (HT) pair. The proposed HT-FOFDM system is designed and modelled based on the narrowband IoT (NB-IoT) specifications. To investigate the designed signalling method of different spectral efficiencies, we conducted simulations for HT-FOFDM with comparisons to single-carrier frequency division multiple access (SC-FDMA). We show that the proposed PAM modulated HT-FOFDM signalling increases the data rate effectively while maintaining reliable transmission within the same bandwidth of 180kHz. Comparative results of the bit error rate (BER) performance in additive white Gaussian noise (AWGN) channel and constellation diagrams of received noisy signals are presented. Furthermore, we show that HT-FOFDM with PAM modulation schemes comprehensively outperforms SC-FDMA that achieves the same spectral efficiencies with significant power advantages.

Type: Proceedings paper
Title: Energy and Spectrally Efficient Signalling for Next Generation IoT
Event: 2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)
Dates: 20 Jul 2022 - 22 Jul 2022
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/CSNDSP54353.2022.9907968
Publisher version: https://doi.org/10.1109/CSNDSP54353.2022.9907968
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: Spectral efficiency , Filtering , Bit error rate , Transforms , Frequency conversion , Reliability , Internet of Things
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/10161035
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