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Toward Energy-Efficient and Ultra-Low Latency Wireless Networks: 5G and Beyond

Toward Energy-Efficient and Ultra-Low Latency Wireless Networks: 5G and Beyond
迈向节能和超低延迟无线网络:5G 及其他
批准号:
RGPIN-2017-04705
负责人:
Wong, Vincent
金额:
$3.42万
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

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中文摘要
翻译
迈向节能和超低延迟无线网络:5G及以后******申请人的研究项目是在无线通信和网络领域。******近年来,无线服务供应商已经部署了长期演进(LTE)系统,方便移动用户使用智能手机或平板电脑连接互联网,访问社交网络,并推出不同类型的实时和流媒体应用程序。随着物联网(IoT)设备和应用的激增,下一代无线网络,即第五代(5G)网络,不仅旨在为现有移动用户提供更高的数据速率,而且还支持将潜在的数十亿物联网设备连接到互联网。******机器类型通信(MTC)是物联网的重要推动者。国际电信联盟将MTC分为两类:海量MTC (massive MTC)和超可靠低延迟通信(ultra-reliable and low latency communication)。mMTC的特点是连接密度高;即,每个单元中同时存在大量低成本、低功耗的MTC器件。传感器网络和可穿戴设备就是mMTC的例子。URLLC要求可靠的数据传输,严格的延迟限制为10毫秒或更少。URLLC用于电子健康和自动驾驶等应用。为了满足这些具有挑战性的要求,需要对无线接入网和核心网进行真正的技术革命。******在本研究计划中,长期目标是支持具有不同延迟和吞吐量要求的物联网应用,并以可扩展的方式提高新兴5G无线网络的频谱和能源效率。在五年的时间框架内,我们将专注于以下相互关联的短期目标:(a)发展无线接入网和核心网架构,融合软件定义网络(SDN)、移动边缘计算和动态网络切片,以提高5G网络的频谱效率和灵活性,以支持不同类型的设备(例如智能手机、MTC设备)和物联网应用;(b)为mMTC设备开发基于非正交多址(NOMA)的节能介质访问控制算法,以提高覆盖区域内的可扩展性和连接密度;(c)开发基于SDN、载波聚合和NOMA的URLCC设备应用感知调度算法,支持高可靠性、超低时延的物联网应用。******我们预计我们的研究将为本地和全球电信行业的5G系统及其他系统找到实用的新颖解决方案和应用。预计它们将对促进加拿大技术创新的长期竞争力产生持久的影响。
英文摘要
Toward Energy-Efficient and Ultra-Low Latency Wireless Networks: 5G and Beyond******The research program of the applicant is in the areas of wireless communications and networking.******In recent years, wireless service providers have deployed Long Term Evolution (LTE) systems to facilitate mobile users in using their smartphones or tablets to connect to the Internet, access social networks, and launch different types of real-time and streaming multimedia applications. With the proliferation of Internet of Things (IoT) devices and applications, the next generation of wireless networks, namely the fifth generation (5G) networks, aim to not only provide a higher data rate to the existing mobile users, but also to support the connection of potential billions of IoT devices to the Internet.******Machine-type communications (MTC) is an important enabler of IoT. The International Telecommunications Union classifies MTC into two categories: massive MTC (mMTC) and ultra-reliable and low latency communications (URLLC). mMTC is characterized by high connection density; i.e., a massive number of active low-cost and low-power MTC devices co-exist per cell. Sensor networks and wearables are examples of mMTC. URLLC requires reliable data transmissions with strict latency constraint of 10 milliseconds or less. URLLC is required for applications such as e-health and autonomous driving. To meet these challenging requirements, a true revolution of technologies in the radio access network and core network is needed. ******In this research program, the long-term objective is to support IoT applications with diverse delay and throughput requirements, and to improve the spectral and energy efficiencies of the emerging 5G wireless networks in a scalable manner. Within the five-year time frame, we will focus on the following inter-related short-term objectives: (a) to develop radio access network and core network architecture, incorporating software-defined networking (SDN), mobile edge computing, and dynamic network slicing, to improve the spectral efficiency and flexibility of 5G networks to support different types of devices (e.g., smartphones, MTC devices) and IoT applications; (b) to develop energy-efficient medium access control algorithms for mMTC devices, based on non-orthogonal multiple access (NOMA), to improve the scalability and connection density within a coverage area; and (c) to develop application-aware scheduling algorithms for URLCC devices, based on SDN, carrier aggregation, and NOMA, to support IoT applications with high reliability and ultra-low delay requirements.******We anticipate that our research will find practical novel solutions and applications for the benefit of the local and the global telecommunications industry for 5G systems and beyond. They are expected to have a lasting impact in contributing towards the long-term competitiveness of Canada's technological innovation.
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会议论文
AI-based Joint Sensing, Communications, and Control for 6G Wireless Networks
  • 批准号:
    RGPIN-2022-04749
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $4.01万
  • 财政年份:
    2022
  • 负责人:
    Wong, Vincent
  • 依托单位:
AI-based Joint Sensing, Communications, and Control for 6G Wireless Networks
  • 批准号:
    DGDND-2022-04749
  • 项目类别:
    DND/NSERC Discovery Grant Supplement
  • 资助金额:
    $2.91万
  • 财政年份:
    2022
  • 负责人:
    Wong, Vincent
  • 依托单位:
Toward Energy-Efficient and Ultra-Low Latency Wireless Networks: 5G and Beyond
  • 批准号:
    RGPIN-2017-04705
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.42万
  • 财政年份:
    2021
  • 负责人:
    Wong, Vincent
  • 依托单位:
Technologies to Support Enhanced Mobile Broadband and Tactile Internet Applications in 5G Wireless Systems
  • 批准号:
    521226-2018
  • 项目类别:
    Strategic Projects - Group
  • 资助金额:
    $12.52万
  • 财政年份:
    2020
  • 负责人:
    Wong, Vincent
  • 依托单位:
国内基金
海外基金
度量测度空间上基于狄氏型和p-energy型的热核理论研究
  • 批准号:
    QN25A010015
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2025
  • 负责人:
    高晋
  • 依托单位: