NeTS: Medium: Collaborative Research:Digital SubCarrier Multiplexing (DSCM) Networks: from the Core to the Access

NeTS:媒介:协作研究:数字子载波复用 (DSCM) 网络:从核心到接入

基本信息

  • 批准号:
    1409853
  • 负责人:
  • 金额:
    $ 46.55万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2014
  • 资助国家:
    美国
  • 起止时间:
    2014-08-15 至 2020-07-31
  • 项目状态:
    已结题

项目摘要

Internet traffic is experiencing a rapid growth driven by massive video streaming, cloud computing and the Internet of Things. Green networking is more important than ever to keep energy consumption under control while still guaranteeing good service quality. Packet switching is the standard practice in high speed Internet, enabled by routers and switches that perform electronic packet store-and-forward at every intermediate node. In a typical router, up to 60 percent of its energy is used for packet forwarding. Circuit switching, on the other hand, does not require per-packet store-and-forward and can potentially be more energy efficient. Current practice places optical circuits on a fixed grid of optical frequences. This fixed grid may waste valuable optical spectrum if an optical circuit is carrying less than the maximum capacity. Thus both the research community and industry are investigating grid-less approaches. In particular, Digital Subcarrier Multiplexing (DSCM)is a circuit-oriented approach with high spectral efficiency and robustness against signal quality corruption and which enables flexible spectrum and grid-less transmission in optical networks. This project leverages DSCM to extend the circuit-oriented practice from the optical network core all the way to the network periphery (including metro, access and campus segments) ultimately offering dedicated broadband DSCM circuits to end-users. DSCM traffic bypasses both Ethernet switches and Internet Protocol routers, and eliminates the energy consumption associated with their packet store-and-forward requirements. The project also explores a Hybrid-DSCM-Ethernet network architecture in which DSCM circuits and Ethernet frames coexist in the access/campus networks. The transmission and network cross-layer nature of this research effort promotes partnerships among different institutions and research areas, and provides graduate and undergraduate students the opportunity to do research solving real-world scientific problems.
在大规模视频流、云计算和物联网的推动下,互联网流量正在经历快速增长。绿色网络比以往任何时候都更重要,可以在控制能耗的同时保证良好的服务质量。分组交换是高速互联网中的标准实践,由在每个中间节点执行电子分组存储和转发的路由器和交换机实现。在典型的路由器中,高达60%的能量用于数据包转发。另一方面,电路交换不需要每个数据包的存储和转发,并且可能更节能。 目前的做法是将光路放置在固定的光频网格上。如果光路承载小于最大容量,则该固定网格可能浪费宝贵的光谱。 因此,研究界和工业界都在研究无网格方法。特别地,数字子载波复用(DSCM)是一种面向电路的方法,具有高频谱效率和对信号质量恶化的鲁棒性,并且其能够在光网络中实现灵活的频谱和无网格传输。该项目利用DSCM将面向电路的实践从光网络核心一直扩展到网络外围(包括城域网、接入和园区段),最终为最终用户提供专用宽带DSCM电路。DSCM流量绕过以太网交换机和互联网协议路由器,消除了与数据包存储和转发要求相关的能耗。该项目还探讨了一种混合DSCM-以太网网络架构,其中DSCM电路和以太网帧共存于接入/园区网络中。这项研究工作的传输和网络跨层性质促进了不同机构和研究领域之间的伙伴关系,并为研究生和本科生提供了解决现实世界科学问题的研究机会。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Rongqing Hui其他文献

Measurement of Total and Longitudinal Nonlinear Phase Shift as Well as Longitudinal Dispersion for a Fiber-Optic Link Using a Digital Coherent Transceiver
使用数字相干收发器测量光纤链路的总和纵向非线性相移以及纵向色散
  • DOI:
    10.1109/jlt.2022.3198549
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    4.7
  • 作者:
    Rongqing Hui;C. Laperle;M. O'sullivan
  • 通讯作者:
    M. O'sullivan
Non-intrusive polarization dependent loss monitoring in fiber-optic transmission systems
  • DOI:
    10.1016/j.optcom.2008.05.047
  • 发表时间:
    2008-09-15
  • 期刊:
  • 影响因子:
  • 作者:
    Junfeng Jiang;Doug Richards;Chris Allen;Steve Oliva;Rongqing Hui
  • 通讯作者:
    Rongqing Hui

Rongqing Hui的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Rongqing Hui', 18)}}的其他基金

Collaborative Research: CNS Core: Medium: TeTON: A Testbed and a Toolkit for Expediting Investigation of and Accelerating Advancements in All-Optical Neural Networks
合作研究:CNS 核心:媒介:TeTON:加速全光神经网络研究和加速进步的测试平台和工具包
  • 批准号:
    2211990
  • 财政年份:
    2022
  • 资助金额:
    $ 46.55万
  • 项目类别:
    Continuing Grant
Collaborative Research: CNS Core: MEDIUM: RUI: Optics Without Borders
合作研究:CNS 核心:MEDIUM:RUI:光学无国界
  • 批准号:
    1956137
  • 财政年份:
    2020
  • 资助金额:
    $ 46.55万
  • 项目类别:
    Continuing Grant
NeTS-NR: Collaborative Research: High-Speed Self-Configuring Networks Based on Cost-Effective Plug-and-Play Optical (PPO) Nodes
NeTS-NR:协作研究:基于经济高效的即插即用光(PPO)节点的高速自配置网络
  • 批准号:
    0435381
  • 财政年份:
    2004
  • 资助金额:
    $ 46.55万
  • 项目类别:
    Continuing Grant
Ultra-High-Capacity Optical Communications and Networking: III-nitride Wide Bandgap Semiconductors for Optical Communications
超高容量光通信和网络:用于光通信的III族氮化物宽带隙半导体
  • 批准号:
    0123450
  • 财政年份:
    2001
  • 资助金额:
    $ 46.55万
  • 项目类别:
    Continuing Grant

相似海外基金

Collaborative Research: NeTS: Medium: EdgeRIC: Empowering Real-time Intelligent Control and Optimization for NextG Cellular Radio Access Networks
合作研究:NeTS:媒介:EdgeRIC:为下一代蜂窝无线接入网络提供实时智能控制和优化
  • 批准号:
    2312978
  • 财政年份:
    2023
  • 资助金额:
    $ 46.55万
  • 项目类别:
    Standard Grant
Collaborative Research: NeTS: Medium: Towards High-Performing LoRa with Embedded Intelligence on the Edge
协作研究:NeTS:中:利用边缘嵌入式智能实现高性能 LoRa
  • 批准号:
    2312676
  • 财政年份:
    2023
  • 资助金额:
    $ 46.55万
  • 项目类别:
    Standard Grant
Collaborative Research: NeTS: Medium: Black-box Optimization of White-box Networks: Online Learning for Autonomous Resource Management in NextG Wireless Networks
合作研究:NeTS:中:白盒网络的黑盒优化:下一代无线网络中自主资源管理的在线学习
  • 批准号:
    2312835
  • 财政年份:
    2023
  • 资助金额:
    $ 46.55万
  • 项目类别:
    Standard Grant
Collaborative Research: NeTS: Medium: An Integrated Multi-Time Scale Approach to High-Performance, Intelligent, and Secure O-RAN based NextG
合作研究:NeTS:Medium:基于 NextG 的高性能、智能和安全 O-RAN 的集成多时间尺度方法
  • 批准号:
    2312447
  • 财政年份:
    2023
  • 资助金额:
    $ 46.55万
  • 项目类别:
    Standard Grant
Collaborative Research: NeTS: Medium: Large Scale Analysis of Configurations and Management Practices in the Domain Name System
合作研究:NetS:中型:域名系统配置和管理实践的大规模分析
  • 批准号:
    2312711
  • 财政年份:
    2023
  • 资助金额:
    $ 46.55万
  • 项目类别:
    Standard Grant
Collaborative Research: NeTS: Medium: Black-box Optimization of White-box Networks: Online Learning for Autonomous Resource Management in NextG Wireless Networks
合作研究:NeTS:中:白盒网络的黑盒优化:下一代无线网络中自主资源管理的在线学习
  • 批准号:
    2312836
  • 财政年份:
    2023
  • 资助金额:
    $ 46.55万
  • 项目类别:
    Standard Grant
Collaborative Research: NeTS: Medium: Black-box Optimization of White-box Networks: Online Learning for Autonomous Resource Management in NextG Wireless Networks
合作研究:NeTS:中:白盒网络的黑盒优化:下一代无线网络中自主资源管理的在线学习
  • 批准号:
    2312834
  • 财政年份:
    2023
  • 资助金额:
    $ 46.55万
  • 项目类别:
    Standard Grant
Collaborative Research: NeTS: Medium: An Integrated Multi-Time Scale Approach to High-Performance, Intelligent, and Secure O-RAN based NextG
合作研究:NeTS:Medium:基于 NextG 的高性能、智能和安全 O-RAN 的集成多时间尺度方法
  • 批准号:
    2312448
  • 财政年份:
    2023
  • 资助金额:
    $ 46.55万
  • 项目类别:
    Standard Grant
Collaborative Research: NeTS: Medium: Towards High-Performing LoRa with Embedded Intelligence on the Edge
协作研究:NeTS:中:利用边缘嵌入式智能实现高性能 LoRa
  • 批准号:
    2312674
  • 财政年份:
    2023
  • 资助金额:
    $ 46.55万
  • 项目类别:
    Standard Grant
Collaborative Research: NeTS: Medium: Large Scale Analysis of Configurations and Management Practices in the Domain Name System
合作研究:NetS:中型:域名系统配置和管理实践的大规模分析
  • 批准号:
    2312710
  • 财政年份:
    2023
  • 资助金额:
    $ 46.55万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了