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Next Generation broadband wireless access Employing Fibre-connected massively distributed antennas

Next Generation broadband wireless access Employing Fibre-connected massively distributed antennas
采用光纤连接的大规模分布式天线的下一代宽带无线接入
批准号:
396756-2010
负责人:
Leung, Victor
金额:
$16.68万
依托单位国家:
加拿大
项目类别:
Strategic Projects - Group
财政年份:
2010
资助国家:
加拿大
项目状态:
已结题
起止时间:
2010-01-01 至 2011-12-31

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中文摘要
翻译
下一代宽带无线接入(BWA)系统正朝着分布式架构发展,作为一种有前途的解决方案,以满足不断增长的无线连接的需求。以毫微微和微微小区基站/接入点部署和网状网络解决方案为例的分布式架构可以通过缩短链路、利用协作方案和利用认知机制来降低功耗并提高频谱利用率,但可能会导致用于协调的大开销。我们提出了一种新的分布式无线架构的下一代宽带无线接入与光纤连接的大规模分布式天线(BWA-FMDA),它采用了大量的分布式天线通过光纤连接到一个集中的处理实体,以尽量减少系统协调的通信开销。所提出的BWA-FMDA系统的覆盖范围可以从通过IEEE 802.11a/g/n和毫微微小区热点解决方案提供的家庭和办公室环境中的几十米到支持最后一英里技术(例如WiMAX、LTE、LTE-A)的几公里。我们的目标是了解和表征这种集中控制的分布式天线系统的基本性能限制,开发接近性能限制的实用资源分配技术,并提供低成本的实用实施解决方案,以促进BWA-FMDA的及时市场适应。为了实现这一目标,我们建议调查大规模分布式天线系统的基本性能限制,并开发(a)改进的基于测量的信道模型,包括大规模分布式天线,(B)先进的无线电资源管理和接入控制方案,在现实的传播环境中接近性能限制,以及(c)用于适合于RFoF应用的低成本有源光缆的改进的光电收发器设计。 我们将开发一个试验平台,并在试验平台上实施上述结果,以进行实验评估和向我们的行业合作伙伴进行概念验证演示,以促进研究成果的商业化。
英文摘要
Next generation broadband wireless access (BWA) systems are evolving towards distributed architectures as a promising solution to meet the ever increasing demand for wireless connectivity. Distribution architectures, exemplified by femto- and pico-cell base-stations/access points deployments and mesh networking solutions, can reduce power consumption and enhancing spectrum utilization by shortening the links, exploiting cooperative schemes and utilizing cognitive mechanisms but may incur large overhead for co-ordinations. We propose a novel distributed wireless architecture for next generation broadband wireless access with fibre-connected massively distributed antennas (BWA-FMDA), which employs a large number of distributed antennas connected via optical fibres to a centralized processing entity to minimize the communication overheads of system co-ordination. The coverage area of the proposed BWA-FMDA system can range from a few tens of meters in homes and office environments, delivered via IEEE 802.11a/g/n and femto-cell hotspot solutions, to several kilometers supporting last-mile technologies such as WiMAX, LTE, LTE-A. Our goal is to understand and characterize the fundamental performance limits of such a centrally-controlled distributed antenna system, develop practical resource allocation techniques that approach the performance limits, and deliver low-cost practical implementation solutions to facilitate timely market adaptation of BWA-FMDA. To achieve this goal, we propose to investigate the fundamental performance limits of massively distributed antenna systems, and develop (a) improved measurement-based channel models involving massively distributed antennas, (b) advanced radio resource management and access control schemes that approach the performance limits in realistic propagation environments, and (c) improved opto-electronic transceivers designs for low cost active optical cables suitable for RFoF applications. We shall develop a testbed and implement the above results over the testbed for experimental evaluations and proof-of-concept demonstrations to our industry partners to facilitate commercialization of the research results.
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Next Generation Software-defined Intelligent Radio Access Network (SIRAN) - Leveraging Deep Learning for Autonomous and Intelligent Service Provisioning
  • 批准号:
    RGPIN-2019-06348
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $6.63万
  • 财政年份:
    2022
  • 负责人:
    Leung, Victor
  • 依托单位:
Next Generation Software-defined Intelligent Radio Access Network (SIRAN) - Leveraging Deep Learning for Autonomous and Intelligent Service Provisioning
  • 批准号:
    RGPIN-2019-06348
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $6.63万
  • 财政年份:
    2021
  • 负责人:
    Leung, Victor
  • 依托单位:
Next Generation Software-defined Intelligent Radio Access Network (SIRAN) - Leveraging Deep Learning for Autonomous and Intelligent Service Provisioning
  • 批准号:
    RGPIN-2019-06348
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $6.63万
  • 财政年份:
    2020
  • 负责人:
    Leung, Victor
  • 依托单位:
Next Generation Software-defined Intelligent Radio Access Network (SIRAN) - Leveraging Deep Learning for Autonomous and Intelligent Service Provisioning
  • 批准号:
    RGPIN-2019-06348
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $6.63万
  • 财政年份:
    2019
  • 负责人:
    Leung, Victor
  • 依托单位:
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