为提升网络的传输效率和传输质量,研究基于软件定义光传送网(Software Optical Transport Network,SoTN)技术和第五代移动通信技术(5th Generation Mobile Communication Technology,5G)的传输组网技术。首先分析了5G传输网端到端架构...为提升网络的传输效率和传输质量,研究基于软件定义光传送网(Software Optical Transport Network,SoTN)技术和第五代移动通信技术(5th Generation Mobile Communication Technology,5G)的传输组网技术。首先分析了5G传输网端到端架构存在的优势及不足,其次采用SOTN技术和5G网络切片技术设计了一种传输组网方案,最后进行实验分析。测试结果表明,该传输组网技术具有较好的应用效果,数据包的传输成功率均在90.00%以上,并且端到端的最大时延为16.11ms,能够保证网络的传输效果。展开更多
在信息技术飞速发展和通信网络日新月异的今天,传输设备在现代通信系统中有着举足轻重的地位。分组传送网(Packet Transport Network,PTN)和光传输网络(Optical Transport Network,OTN)是目前两大主流的传输技术,可满足人们对高速、大...在信息技术飞速发展和通信网络日新月异的今天,传输设备在现代通信系统中有着举足轻重的地位。分组传送网(Packet Transport Network,PTN)和光传输网络(Optical Transport Network,OTN)是目前两大主流的传输技术,可满足人们对高速、大容量、低延迟的业务需求。因此,文章综合分析PTN和OTN传输设备,探讨其优劣势及未来发展趋势,旨在给相关领域决策者与研究人员提供参考,推动通信网络不断创新与发展。展开更多
现阶段在信息化时代的不断发展下,对于通信技术的高度重视已经成为世界各国不约而同的首要任务,作为通信技术的基石,传输网络提供的高可靠大带宽传输电路是各大运营商宽带网络稳定高强度运行的基础,是运营商各类业务有序发展的前提。因...现阶段在信息化时代的不断发展下,对于通信技术的高度重视已经成为世界各国不约而同的首要任务,作为通信技术的基石,传输网络提供的高可靠大带宽传输电路是各大运营商宽带网络稳定高强度运行的基础,是运营商各类业务有序发展的前提。因此,高速OTN传输平台作为输出核心,要在Nx100 G的技术已经有较为稳定的发展的基础上进行能力提升。本文对于400 G OTN关键技术进行研究,并探讨400 G OTN在大型运营商省内主干传输网络的规划部署与建议。展开更多
The rapid proliferation of Internet of Things(IoT)technology has facilitated automation across various sectors.Nevertheless,this advancement has also resulted in a notable surge in cyberattacks,notably botnets.As a re...The rapid proliferation of Internet of Things(IoT)technology has facilitated automation across various sectors.Nevertheless,this advancement has also resulted in a notable surge in cyberattacks,notably botnets.As a result,research on network analysis has become vital.Machine learning-based techniques for network analysis provide a more extensive and adaptable approach in comparison to traditional rule-based methods.In this paper,we propose a framework for analyzing communications between IoT devices using supervised learning and ensemble techniques and present experimental results that validate the efficacy of the proposed framework.The results indicate that using the proposed ensemble techniques improves accuracy by up to 1.7%compared to singlealgorithm approaches.These results also suggest that the proposed framework can flexibly adapt to general IoT network analysis scenarios.Unlike existing frameworks,which only exhibit high performance in specific situations,the proposed framework can serve as a fundamental approach for addressing a wide range of issues.展开更多
文摘为提升网络的传输效率和传输质量,研究基于软件定义光传送网(Software Optical Transport Network,SoTN)技术和第五代移动通信技术(5th Generation Mobile Communication Technology,5G)的传输组网技术。首先分析了5G传输网端到端架构存在的优势及不足,其次采用SOTN技术和5G网络切片技术设计了一种传输组网方案,最后进行实验分析。测试结果表明,该传输组网技术具有较好的应用效果,数据包的传输成功率均在90.00%以上,并且端到端的最大时延为16.11ms,能够保证网络的传输效果。
文摘在信息技术飞速发展和通信网络日新月异的今天,传输设备在现代通信系统中有着举足轻重的地位。分组传送网(Packet Transport Network,PTN)和光传输网络(Optical Transport Network,OTN)是目前两大主流的传输技术,可满足人们对高速、大容量、低延迟的业务需求。因此,文章综合分析PTN和OTN传输设备,探讨其优劣势及未来发展趋势,旨在给相关领域决策者与研究人员提供参考,推动通信网络不断创新与发展。
文摘现阶段在信息化时代的不断发展下,对于通信技术的高度重视已经成为世界各国不约而同的首要任务,作为通信技术的基石,传输网络提供的高可靠大带宽传输电路是各大运营商宽带网络稳定高强度运行的基础,是运营商各类业务有序发展的前提。因此,高速OTN传输平台作为输出核心,要在Nx100 G的技术已经有较为稳定的发展的基础上进行能力提升。本文对于400 G OTN关键技术进行研究,并探讨400 G OTN在大型运营商省内主干传输网络的规划部署与建议。
基金supported by Innovative Human Resource Development for Local Intellectualization program through the Institute of Information&Communications Technology Planning&Evaluation(IITP)grant funded by the Korea government(MSIT)(IITP2024-00156287,50%)funded by the Institute for Information&Communications Technology Planning&Evaluation(IITP)grant funded by the Korea government(MSIT)(No.2022-0-01203,Regional Strategic Industry Convergence Security Core Talent Training Business,50%).
文摘The rapid proliferation of Internet of Things(IoT)technology has facilitated automation across various sectors.Nevertheless,this advancement has also resulted in a notable surge in cyberattacks,notably botnets.As a result,research on network analysis has become vital.Machine learning-based techniques for network analysis provide a more extensive and adaptable approach in comparison to traditional rule-based methods.In this paper,we propose a framework for analyzing communications between IoT devices using supervised learning and ensemble techniques and present experimental results that validate the efficacy of the proposed framework.The results indicate that using the proposed ensemble techniques improves accuracy by up to 1.7%compared to singlealgorithm approaches.These results also suggest that the proposed framework can flexibly adapt to general IoT network analysis scenarios.Unlike existing frameworks,which only exhibit high performance in specific situations,the proposed framework can serve as a fundamental approach for addressing a wide range of issues.