Three-Dimensional Non-Orthogonal Multiple Access High-Security Seven-Core Transmission System Based on Constellation Chaotic Selection Mapping

星座 选择(遗传算法) 计算机科学 传输(电信) 混乱的 传动系统 芯(光纤) 电信 电子工程 工程类 物理 人工智能 天文
作者
Gengyin Chen,Bo Liu,Jianxin Ren,Yong Li,Yaya Mao,Xiangyu Wu,Shuaidong Chen,Bin Wang,Rahat Ullah,Yongfeng Wu,Lilong Zhao,Zeqian Guo
出处
期刊:Journal of Lightwave Technology [Institute of Electrical and Electronics Engineers]
卷期号:42 (17): 5910-5917 被引量:5
标识
DOI:10.1109/jlt.2024.3406722
摘要

This paper proposes a three-dimensional non-orthogonal multiple access (3D-NOMA) high-security transmission in a seven-core fiber based on chaotic selection mapping of constellations. The transmission scheme uses a four-dimensional hyperchaotic model for the first selection mapping mask and the second selection mapping mask for 3D constellation points. The first selection mapping mask randomly permutes the information of each mapped constellation point to complete the first layer of encryption. The second selection mapping mask maps the constellation points onto the hollow sphere domain in 3D space through encrypted data preprocessing mapping rules to complete the second layer of encryption. The joint mapping of two-layer encryption provides greater security and flexibility for constellation encryption. An ample key space∼10 150 with an effective information transmission of 35.51 Gb/s was demonstrated experimentally in a 2 km 7-core fiber. The 3D orthogonal frequency division multiplexing (3D-OFDM) is transmitted simultaneously under the same conditions, and compared with 3D-OFDM, the proposed 3D-NOMA scheme could potentially expand the number of users without obvious performance degradation. The experimental results show that the scheme can effectively protect the system from illegal optical network unit attacks and is ideal for physically securing 3D-NOMA in the future.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
阿萨德完成签到,获得积分20
刚刚
李万洪完成签到 ,获得积分10
刚刚
任性诗蕾发布了新的文献求助10
2秒前
qzy发布了新的文献求助10
2秒前
洋溢完成签到,获得积分10
3秒前
科研通AI6.4应助goldfish采纳,获得10
3秒前
shi发布了新的文献求助10
3秒前
4秒前
谭谨川发布了新的文献求助10
4秒前
eee25完成签到,获得积分10
4秒前
禅明爱月完成签到,获得积分10
5秒前
凶狠的乐巧完成签到,获得积分10
5秒前
7秒前
goldfish完成签到,获得积分10
10秒前
及时行乐关注了科研通微信公众号
12秒前
沧浪江发布了新的文献求助10
12秒前
13秒前
13秒前
小布丁应助tiara采纳,获得10
14秒前
再见一日完成签到,获得积分10
14秒前
14秒前
科研通AI6.4应助psyxu采纳,获得30
14秒前
Hello应助昵称采纳,获得10
14秒前
机智绝悟完成签到,获得积分10
14秒前
柚子茶完成签到 ,获得积分10
16秒前
烟花应助炙热乌冬面采纳,获得10
16秒前
科研通AI6.2应助dyh采纳,获得10
16秒前
何嘉骞完成签到,获得积分10
17秒前
风中大楚应助GOAT采纳,获得10
19秒前
AA发布了新的文献求助10
19秒前
19秒前
上官若男应助云府有知采纳,获得10
20秒前
20秒前
20秒前
21秒前
21秒前
anna521212完成签到 ,获得积分10
22秒前
22秒前
自信紫蓝发布了新的文献求助10
23秒前
24秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The anomeric effect 1314
Principles of town planning: translating concepts to applications 1000
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7734423
求助须知:如何正确求助?哪些是违规求助? 9284806
关于积分的说明 20166793
捐赠科研通 7312284
什么是DOI,文献DOI怎么找? 3304642
关于科研通互助平台的介绍 2457280
邀请新用户注册赠送积分活动 2313855