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Energy Efficient Non-Orthogonal Signalling with Probabilistic Shaping for Wireless Transmissions

Liu, Xinyue; Darwazeh, Izzat; (2024) Energy Efficient Non-Orthogonal Signalling with Probabilistic Shaping for Wireless Transmissions. In: 2024 14th International Symposium on Communication Systems, Networks and Digital Signal Processing, Proceedings. (pp. pp. 569-574). IEEE: Rome, Italy. Green open access

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Abstract

This work explores the realistic operation of a recently reported concept by the authors 1 1 The probabilistically shaped-SEFDM concept was first reported by the authors in the IEEE VTC-Spring 2021. This paper extends earlier transmission systems design by using channel estimation and equalisation system components. The results of this work are published here openly for the first time. They form part of Xinyue Liu's PhD 2023 thesis [1]., which considers the use of probabilistic shaping for the non-orthogonal multicarrier spectrally efficient frequency division multiplexing (SEFDM) system. In this paper, we extend the operation of earlier signal and system designs, which considered only a simple AWGN channel, to realistic wireless environments with the focus of the studies on two frequency selective channels, namely a four-tap channel and Rummler's channel. The special system design for probabilistic shaping adopts a reverse concatenation architecture that cascades the constant composition distribution matching (CCDM) algorithm together with soft-decision forward error correction (SD-FEC) - LDPC code. The paper presents detailed system modelling and simulation results, which clearly establish that, with pilot tone based channel estimation and equalisation, SEFDM with probabilistic shaping shows significant advantages, in both energy efficiency and robust-ness against wireless channel impairments, when compared to OFDM of the same spectral efficiencies.

Type: Proceedings paper
Title: Energy Efficient Non-Orthogonal Signalling with Probabilistic Shaping for Wireless Transmissions
Event: 2024 14th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)
Dates: 17 Jul 2024 - 19 Jul 2024
ISBN-13: 979-8-3503-4874-3
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/CSNDSP60683.2024.10636633
Publisher version: https://doi.org/10.1109/CSNDSP60683.2024.10636633
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.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
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/10199032
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