Lightweight Joint Coding-Modulation Optical Fiber Communication System for Point Cloud

IF 8.3 2区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Communications Pub Date : 2024-09-05 DOI:10.1109/TCOMM.2024.3455233
Wei Zhang;Zhenming Yu;Hongyu Huang;Xiangyong Dong;Kaixuan Sun;Kun Xu
{"title":"Lightweight Joint Coding-Modulation Optical Fiber Communication System for Point Cloud","authors":"Wei Zhang;Zhenming Yu;Hongyu Huang;Xiangyong Dong;Kaixuan Sun;Kun Xu","doi":"10.1109/TCOMM.2024.3455233","DOIUrl":null,"url":null,"abstract":"Achieving efficient point cloud (PC) transmission is a fundamental requirement for immersive holographic-type communication. However, traditional optical fiber communication (TOFC), based on separated coding modulation for PC transmission, faces challenges related to massive data transmission and heavy computational resource requirements. To achieve lightweight and efficient PC transmission, we propose and experimentally demonstrate a joint coding-modulation optical fiber communication system for PC transmission (JCMPC). A joint encoding-modulation (JEM) network based on 3D convolution is designed to encode the PC into symbols for transmission directly. At the receiver, a joint decoding-demodulation (JDD) network is used to reconstruct the signals transmitted through the communication channel into the received PC. The experimental results indicate that the proposed JCMPC outperforms transmission schemes based on separate coding modulation and exhibits gradual performance degradation with the deterioration of channel conditions. We evaluate the decoding computational complexity of our proposed JCMPC scheme against the separate transmission schemes using Geometry-based Point Cloud Compression (G-PCC) and Low-Density Parity-Check (LDPC) codes. The results demonstrate that JCMPC reduces the decoding computational operations by over 80% compared to G-PCC+LDPC.","PeriodicalId":13041,"journal":{"name":"IEEE Transactions on Communications","volume":"73 3","pages":"1938-1949"},"PeriodicalIF":8.3000,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Communications","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10666722/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

Achieving efficient point cloud (PC) transmission is a fundamental requirement for immersive holographic-type communication. However, traditional optical fiber communication (TOFC), based on separated coding modulation for PC transmission, faces challenges related to massive data transmission and heavy computational resource requirements. To achieve lightweight and efficient PC transmission, we propose and experimentally demonstrate a joint coding-modulation optical fiber communication system for PC transmission (JCMPC). A joint encoding-modulation (JEM) network based on 3D convolution is designed to encode the PC into symbols for transmission directly. At the receiver, a joint decoding-demodulation (JDD) network is used to reconstruct the signals transmitted through the communication channel into the received PC. The experimental results indicate that the proposed JCMPC outperforms transmission schemes based on separate coding modulation and exhibits gradual performance degradation with the deterioration of channel conditions. We evaluate the decoding computational complexity of our proposed JCMPC scheme against the separate transmission schemes using Geometry-based Point Cloud Compression (G-PCC) and Low-Density Parity-Check (LDPC) codes. The results demonstrate that JCMPC reduces the decoding computational operations by over 80% compared to G-PCC+LDPC.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用于点云的轻量级联合编码调制光纤通信系统
实现高效的点云(PC)传输是沉浸式全息通信的基本要求。然而,传统的光纤通信(TOFC)基于PC传输的分离编码调制,面临着大量数据传输和大量计算资源需求的挑战。为了实现轻量化和高效的PC传输,我们提出并实验验证了一种用于PC传输的联合编码-调制光纤通信系统(JCMPC)。设计了一种基于三维卷积的联合编码-调制(JEM)网络,将PC机编码为直接传输的符号。在接收端,采用联合解码-解调(JDD)网络对通过通信信道传输到接收端PC机的信号进行重构。实验结果表明,所提出的JCMPC传输方案优于基于分离编码调制的传输方案,并且随着信道条件的恶化,性能逐渐下降。我们使用基于几何的点云压缩(G-PCC)和低密度奇偶校验(LDPC)码对我们提出的JCMPC方案的解码计算复杂度进行了评估。结果表明,与G-PCC+LDPC相比,JCMPC可将译码计算量减少80%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
IEEE Transactions on Communications
IEEE Transactions on Communications 工程技术-电信学
CiteScore
16.10
自引率
8.40%
发文量
528
审稿时长
4.1 months
期刊介绍: The IEEE Transactions on Communications is dedicated to publishing high-quality manuscripts that showcase advancements in the state-of-the-art of telecommunications. Our scope encompasses all aspects of telecommunications, including telephone, telegraphy, facsimile, and television, facilitated by electromagnetic propagation methods such as radio, wire, aerial, underground, coaxial, and submarine cables, as well as waveguides, communication satellites, and lasers. We cover telecommunications in various settings, including marine, aeronautical, space, and fixed station services, addressing topics such as repeaters, radio relaying, signal storage, regeneration, error detection and correction, multiplexing, carrier techniques, communication switching systems, data communications, and communication theory. Join us in advancing the field of telecommunications through groundbreaking research and innovation.
期刊最新文献
Quantum Radar for ISAC: Sum-Rate Optimization An Area-Efficient Routing Solution for Automorphism Ensemble Decoding of Polar Codes Hybrid Beamfocusing Design for RSMA-Enabled Wideband Near-Field Systems Enabling a Pervasive Optical Wireless Medium Through Controlled Dynamic Signal Propagation On LEOS Covert Communications: A Two-Layer Holographic Approach with Jamming
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1