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Forward Error Correction for Optical CDMA Networks

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Information Theory, Probability and Statistics".

Deadline for manuscript submissions: closed (15 August 2023) | Viewed by 2240

Special Issue Editor

CNRS, XLIM, UMR 7252, University of Limoges, 87000 Limoges, France
Interests: error correction codes; optical CDMA; wireless optical communications; communication systems for e-Health
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Optical networks have been studied for many years, offering high data rate transmissions capability due to large bandwidth. Originally developed for optical fiber medium, optical communications have gained interest in wireless optical networks, based on free space optics (FSO) for outdoor communications, underwater communications, or short distance indoor communications.

To provide multiple access, the Optical Code-Division Multiple-Access (OCDMA) technique has been identified as a promising solution compared to most classical ones like Time-Division Multiple Access (TDMA) and Wavelength-Division Multiple Access (WDMA). However, OCDMA introduces Multiple-Access Interference (MAI), but also beat noise due to the multiple optical fields incident to the receiver, especially for high data rates. Although interference limitation or cancellation techniques can be used to reduce MAI impact, Forward Error Correction (FEC) is a good candidate in order to compensate for Bit Error Rate (BER) or Packet Error Rate (PER) degradation due to both interference and noise sources.

Considering the recent advances reached in the field of error correction codes and the development of new optical network architectures for fiber and wireless optical networks, this Special Issue will collect new ideas and describe promising FEC methods for Optical CDMA networks. Contributions addressing both error correction techniques applied to physical layer or higher-level mechanism are welcome in this context.

Dr. Stephanie Sahuguede
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • optical CDMA
  • multiple access
  • beat noise
  • optical channel
  • fiber optical networks
  • wireless optical networks
  • forward error correction
  • hard and soft decoding techniques

Published Papers (2 papers)

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Research

9 pages, 1636 KiB  
Article
Information Leakage Rate of Optical Code Division Multiple Access Network Using Wiretap Code
by Rongwo Xu, Leiming Sun, Jianhua Ji, Ke Wang and Yufeng Song
Entropy 2023, 25(10), 1384; https://doi.org/10.3390/e25101384 - 26 Sep 2023
Viewed by 722
Abstract
Secrecy capacity is usually employed as the performance metric of the physical layer security in fiber-optic wiretap channels. However, secrecy capacity can only qualitatively evaluate the physical layer security, and it cannot quantitatively evaluate the physical layer security of an imperfect security system. [...] Read more.
Secrecy capacity is usually employed as the performance metric of the physical layer security in fiber-optic wiretap channels. However, secrecy capacity can only qualitatively evaluate the physical layer security, and it cannot quantitatively evaluate the physical layer security of an imperfect security system. Furthermore, secrecy capacity cannot quantitatively evaluate the amount of information leakage to the eavesdropper. Based on the channel model of an optical CDMA network using wiretap code, the information leakage rate is analyzed to evaluate the physical layer security. The numerical results show that the information leakage rate can quantitatively evaluate the physical layer security of an optical CDMA wiretap channel, and it is related to transmission distance, eavesdropping position, confidential information rate and optical code. Full article
(This article belongs to the Special Issue Forward Error Correction for Optical CDMA Networks)
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18 pages, 612 KiB  
Article
Structure and Sequence Aligned Code Summarization with Prefix and Suffix Balanced Strategy
by Jianhui Zeng, Zhiheng Qu and Bo Cai
Entropy 2023, 25(4), 570; https://doi.org/10.3390/e25040570 - 26 Mar 2023
Viewed by 1091
Abstract
Source code summarization focuses on generating qualified natural language descriptions of a code snippet (e.g., functionality, usage and version). In an actual development environment, descriptions of the code are missing or not consistent with the code due to human factors, which makes it [...] Read more.
Source code summarization focuses on generating qualified natural language descriptions of a code snippet (e.g., functionality, usage and version). In an actual development environment, descriptions of the code are missing or not consistent with the code due to human factors, which makes it difficult for developers to comprehend and conduct subsequent maintenance. Some existing methods generate summaries from the sequence information of code without considering the structural information. Recently, researchers have adopted the Graph Neural Networks (GNNs) to capture the structural information with modified Abstract Syntax Trees (ASTs) to comprehensively represent a source code, but the alignment method of the two information encoder is hard to decide. In this paper, we propose a source code summarization model named SSCS, a unified transformer-based encoder–decoder architecture, for capturing structural and sequence information. SSCS is designed upon a structure-induced transformer with three main novel improvements. SSCS captures the structural information in a multi-scale aspect with an adapted fusion strategy and adopts a hierarchical encoding strategy to capture the textual information from the perspective of the document. Moreover, SSCS utilizes a bidirectional decoder which generates a summary from opposite direction to balance the generation performance between prefix and suffix. We conduct experiments on two public Java and Python datasets to evaluate our method and the result show that SSCS outperforms the state-of-art code summarization methods. Full article
(This article belongs to the Special Issue Forward Error Correction for Optical CDMA Networks)
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