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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:
2011
资助国家:
加拿大
项目状态:
已结题
起止时间:
2011-01-01 至 2012-12-31

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中文摘要
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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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