Performance analysis of geometrically shaped 16/32/64/128QAM based on swarm intelligence algorithm

IF 2.6 3区计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Optical Fiber Technology Pub Date : 2024-12-26 DOI:10.1016/j.yofte.2024.104111

Jia Lu , Tianshuo Wang , Jie Ma , Jianfei Liu , Xiangye Zeng , Yang Wang

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引用次数: 0

Abstract

In this paper, an optimization scheme for geometrically shaped quadrature amplitude modulation (GS-QAM) based on swarm intelligence algorithms is proposed. The swarm intelligence algorithms of the marine predator algorithm (MPA), nonlinear marine predator algorithm (NMPA), mountain gazelle optimizer (MGO), dog optimization algorithm (DOA), and honey badger algorithm (HBA) are used to optimize the geometrical locations of the constellation points to reduce the damage caused by phase noise and improve the system performance. The results show that the scheme improves the optical signal-to-noise ratio (OSNR) gain by 1.4 dB/1.6 dB/2.8 dB/4.3 dB, compared with the standard 16/32/64/128 QAM signals and the optimization effect becomes more obvious as the modulation order increases. The five algorithms also significantly improve the performance of the system in terms of transmission distance and transmission rate. In addition, the scheme further validates the universality of the proposed optimization scheme for different modulation formats and demonstrates its potential application to higher-order signals.

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来源期刊

Optical Fiber Technology 工程技术-电信学

CiteScore

4.80

自引率

11.10%

发文量

327

审稿时长

63 days

期刊介绍： Innovations in optical fiber technology are revolutionizing world communications. Newly developed fiber amplifiers allow for direct transmission of high-speed signals over transcontinental distances without the need for electronic regeneration. Optical fibers find new applications in data processing. The impact of fiber materials, devices, and systems on communications in the coming decades will create an abundance of primary literature and the need for up-to-date reviews. Optical Fiber Technology: Materials, Devices, and Systems is a new cutting-edge journal designed to fill a need in this rapidly evolving field for speedy publication of regular length papers. Both theoretical and experimental papers on fiber materials, devices, and system performance evaluation and measurements are eligible, with emphasis on practical applications.