16 Channel Massive MIMO Characterization and Development Platform for Enabling Research into the Physical-layer of the Sub-6 GHz 5G Communication Systems

16 通道大规模 MIMO 表征和开发平台,支持对 6 GHz 以下 5G 通信系统的物理层进行研究

基本信息

  • 批准号:
    RTI-2021-00445
  • 负责人:
  • 金额:
    $ 10.93万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Research Tools and Instruments
  • 财政年份:
    2020
  • 资助国家:
    加拿大
  • 起止时间:
    2020-01-01 至 2021-12-31
  • 项目状态:
    已结题

项目摘要

Research efforts into the development of new reconfigurable networks with ultra-high throughput, ultra-low latency, and ubiquitous connectivity for 5G wireless communication continue to expand globally. The concept of massive multiple-input multiple-output (mMIMO) underpins successful optimization of the 5G physical-layer, given its potential to simultaneously increase spectral efficiency and system throughput, reduce transmission power, improve user experience, and reduce the complexity of user equipment. Industry is racing to develop cost-effective infrastructure solutions with radio frequency (RF) hardware capable of meeting the challenging requirements of both signal quality and power consumption under realistic operating conditions. To succeed in realizing wireless solutions that achieve the full promise of 5G, researchers must develop, in a synergistic manner, power efficient mMIMO RF frontends and real-time digital signal processing (DSP) algorithms which account for the practical constraints and limitations. The requested mMIMO characterization and development platform will include 16-channel sub-6GHz digital-to-RF transceiver hardware with fully reconfigurable real-time signal processing capabilities and high-throughput peer-to-peer communication to form the first truly sub-6GHz 5G mMIMO test bed in Canada. This platform will allow researchers to carry out comprehensive theoretical and technical training in advanced DSP techniques, microwave and wireless communications systems engineering, test and measurement techniques, digital hardware, and real-time systems for graduate students, and is critical to the internationally-competitive research programs of the applicants. Outcomes of these programs (new analyses, models, algorithms and RF frontend module prototypes) are essential to the applicants' multinational industry partners. In addition, at least 15 students, research associates and postdoctoral fellows will develop knowledge and practical skills at the very leading edge of the sub-6GHz mMIMO communication technology evolution. These highly qualified personnel will work closely with researchers and engineers from world-leading industry partners, and their research will provide those partners with critical knowledge for practical mMIMO-based infrastructure deployment. This will help ensure Canadian industry has access to highly-skilled labor and is at the forefront of the commercialization of 5G networking equipment. Moreover, the outcomes made possible with the requested equipment will help us realize the benefits of mMIMO communication technology to meet the staggeringly high data rate, low latency and high connectivity demands imposed by the digital transformation of service provision in the wireless communication sector.
通过超高吞吐量,超低潜伏期和无处不在的连通性,5G无线通信的新型可重构网络开发的研究工作继续在全球范围内扩展。大规模多输入多输出(MMIMO)的概念基于5G物理层的成功优化,因为它有可能同时提高频谱效率和系统吞吐量,降低传输功率,改善用户体验并降低用户设备的复杂性。行业正在竞争,以开发具有射频(RF)硬件具有成本效益的基础设施解决方案,能够满足现实操作条件下信号质量和功耗的挑战性要求。为了成功实现实现5G承诺的无线解决方案,研究人员必须以协同的方式开发有效的MMIMO RF前端和实时数字信号处理(DSP)算法,以说明实际约束和局限性。 请求的MMIMO表征和开发平台将包括具有完全可重新配置的实时信号处理能力和高通量点对点通信,以形成加拿大加拿大的第一个真正的Sub-6GHZ 5G MMIMO测试床。该平台将使研究人员能够对高级DSP技术,微波和无线通信系统工程,测试和测量技术,数字硬件以及针对研究生的实时系统进行全面的理论和技术培训,对于申请人的国际竞争性研究计划至关重要。这些程序的结果(新的分析,模型,算法和RF前端模块原型)对于申请人的跨国行业合作伙伴至关重要。此外,至少有15名学生,研究伙伴和博士后研究员将在Sub-6GHz MMIMO通信技术进化的前沿发展知识和实践技能。这些高素质的人员将与世界领先的行业合作伙伴的研究人员和工程师紧密合作,他们的研究将为这些合作伙伴提供基于MMIMO的基础设施部署的重要知识。这将有助于确保加拿大行业能够获得高技能的劳动力,并处于5G网络设备商业化的最前沿。此外,所请求的设备所取得的结果将有助于我们实现MMIMO通信技术的好处,以满足无线通信领域的数字化服务提供的数字转换所施加的惊人的高数据速率,低延迟和高连通性需求。

项目成果

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Boumaiza, Slim其他文献

Multispectrum Signal Transmitters
  • DOI:
    10.1109/mmm.2014.2356150
  • 发表时间:
    2014-11-01
  • 期刊:
  • 影响因子:
    3.6
  • 作者:
    Boumaiza, Slim;Golestaneh, Hamed;Abadi, Mehdi Naseri Ali
  • 通讯作者:
    Abadi, Mehdi Naseri Ali
I/Q Imbalance Compensation in Wideband Millimeter-Wave Transmitters Using a Single Undersampling ADC
Physically Inspired Neural Network Model for RF Power Amplifier Behavioral Modeling and Digital Predistortion
Extended Hammerstein Behavioral Model Using Artificial Neural Networks
Modeling Bias Dependence of Self-Heating in GaN HEMTs Using Two Heat Sources
  • DOI:
    10.1109/ted.2020.3003847
  • 发表时间:
    2020-08-01
  • 期刊:
  • 影响因子:
    3.1
  • 作者:
    Chen, Xuesong;Boumaiza, Slim;Wei, Lan
  • 通讯作者:
    Wei, Lan

Boumaiza, Slim的其他文献

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{{ truncateString('Boumaiza, Slim', 18)}}的其他基金

Co-development of digital signal processing methods and circuit design techniques for novel 5G and beyond transmitters
共同开发新型 5G 及其他发射机的数字信号处理方法和电路设计技术
  • 批准号:
    RGPIN-2022-04641
  • 财政年份:
    2022
  • 资助金额:
    $ 10.93万
  • 项目类别:
    Discovery Grants Program - Individual
Calibrated and Wideband Vector Signal Generation and Analysis Using Vector Network Analyser
使用矢量网络分析仪生成和分析校准的宽带矢量信号
  • 批准号:
    RTI-2023-00451
  • 财政年份:
    2022
  • 资助金额:
    $ 10.93万
  • 项目类别:
    Research Tools and Instruments
Real-time Digital Signal Processing Methods and their Implementation for Overcoming Massive MIMO Transmitter Hardware Limitations
克服大规模 MIMO 发射机硬件限制的实时数字信号处理方法及其实现
  • 批准号:
    543919-2019
  • 财政年份:
    2021
  • 资助金额:
    $ 10.93万
  • 项目类别:
    Collaborative Research and Development Grants
A Holistic Approach to Addressing the Unrelenting Efficiency and Linearity Challenges of 5G Transmitters
解决 5G 发射机持续存在的效率和线性挑战的整体方法
  • 批准号:
    RGPIN-2016-04159
  • 财政年份:
    2021
  • 资助金额:
    $ 10.93万
  • 项目类别:
    Discovery Grants Program - Individual
Ultra-wideband test and measurement solutions for radio frequency circuits and systems of 5G front-ends
5G前端射频电路和系统的超宽带测试测量解决方案
  • 批准号:
    500694-2016
  • 财政年份:
    2020
  • 资助金额:
    $ 10.93万
  • 项目类别:
    Collaborative Research and Development Grants
A Holistic Approach to Addressing the Unrelenting Efficiency and Linearity Challenges of 5G Transmitters
解决 5G 发射机持续存在的效率和线性挑战的整体方法
  • 批准号:
    RGPIN-2016-04159
  • 财政年份:
    2020
  • 资助金额:
    $ 10.93万
  • 项目类别:
    Discovery Grants Program - Individual
Real-time Digital Signal Processing Methods and their Implementation for Overcoming Massive MIMO Transmitter Hardware Limitations
克服大规模 MIMO 发射机硬件限制的实时数字信号处理方法及其实现
  • 批准号:
    543919-2019
  • 财政年份:
    2020
  • 资助金额:
    $ 10.93万
  • 项目类别:
    Collaborative Research and Development Grants
High-resolution, wide-band and non-repeating signal generation for research into millimeter-wave communication technology
用于毫米波通信技术研究的高分辨率、宽带和非重复信号生成
  • 批准号:
    RTI-2020-00399
  • 财政年份:
    2019
  • 资助金额:
    $ 10.93万
  • 项目类别:
    Research Tools and Instruments
Real-time Digital Signal Processing Methods and their Implementation for Overcoming Massive MIMO Transmitter Hardware Limitations
克服大规模 MIMO 发射机硬件限制的实时数字信号处理方法及其实现
  • 批准号:
    543919-2019
  • 财政年份:
    2019
  • 资助金额:
    $ 10.93万
  • 项目类别:
    Collaborative Research and Development Grants
A Holistic Approach to Addressing the Unrelenting Efficiency and Linearity Challenges of 5G Transmitters
解决 5G 发射机持续存在的效率和线性挑战的整体方法
  • 批准号:
    RGPIN-2016-04159
  • 财政年份:
    2019
  • 资助金额:
    $ 10.93万
  • 项目类别:
    Discovery Grants Program - Individual

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