Wang, Xiaoqian, Liang, Xia, Yang, Chuan, Yuan, Yifei, Liu, Guangyi, Wang, Jiaheng, Wang, Jiangzhou (2024) Performance analysis of pre-distorted layered asymmetrically clipped optical orthogonal frequency division multiplexing. In: 2024 IEEE 30th International Conference on Telecommunications (ICT). 2024 IEEE 30th International Conference on Telecommunications (ICT). . IEEE ISBN 979-8-3503-5670-0. E-ISBN 979-8-3503-5669-4. (doi:10.1109/ict62760.2024.10606119) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:106838)
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Official URL: https://doi.org/10.1109/ict62760.2024.10606119 |
Abstract
Optical wireless communications (OWC) is considered as one of the potential technology in 6G, where pre-distorted layered asymmetrically clipped optical orthogonal frequency division multiplexing (PLACO-OFDM) has attracted much attention due to its advantages of reduced complexity and improved bit error ratio (BER). In this paper, we investigate the source of gain of PLACO-OFDM and compare it with LACO-OFDM, where the LACO-OFDM adopts a uniform subcarrier power allocation. After deriving the probability density function (PDF) and electrical power, we found that the operation of pre-distortion leads to an increase in transmitted total electrical power. The closed-form solution of power gain provides a basis for the evaluation of PLACO-OFDM performance and is then proved by simulations. On this basis, simulation results also show that PLACO-OFDM has a better BER compared to LACO-OFDM with uniform subcarrier power allocation. The performance of PLACO-OFDM is close to LACO-OFDM with uniform layer power allocation.
Item Type: | Conference or workshop item (Paper) |
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DOI/Identification number: | 10.1109/ict62760.2024.10606119 |
Uncontrolled keywords: | integrated optics; wireless communication; upper bound; simulation; FDM; probability density function; adaptive optics |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
SWORD Depositor: | JISC Publications Router |
Depositing User: | JISC Publications Router |
Date Deposited: | 15 Aug 2024 13:58 UTC |
Last Modified: | 16 Aug 2024 07:58 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/106838 (The current URI for this page, for reference purposes) |
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