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

• 批准号: RTI-2021-00445
• 负责人: Boumaiza, Slim
• 金额: $ 10.93万
• 依托单位: University of Waterloo
• 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
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=718501
• 关键词: 16; Channel; Massive; MIMO; Characterization

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.

开发具有超高吞吐量、超低延迟和无处不在的 5G 无线通信连接的新型可重构网络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) 概念支持 5G 物理层的成功优化，因为它具有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复杂性的潜力。业界正在竞相开发具有成本效益的基础设施解决方案，其射频 (RF) 硬件能够满足实际操作条件下信号质量和功耗的挑战性要求。为了成功实现无线解决方案，实现 5G 的全部承诺，研究人员必须以协同方式开发高能效的 mMIMO RF 前端和实时数字信号处理 (DSP) 算法，以解决实际的约束和限制。 所要求的 mMIMO 表征和开发平台将包括 16 通道 6GHz 以下数字射频收发器硬件，具有完全可重新配置的实时信号处理能力和高吞吐量点对点通信，以形成第一个真正的 6GHz 以下 5G加拿大的 mMIMO 测试床。该平台将使研究人员能够对研究生进行先进DSP技术、微波与无线通信系统工程、测试与测量技术、数字硬件、实时系统等方面的全面理论和技术培训，对于提高研究生的国际竞争力至关重要。申请人的研究计划。这些项目的成果（新的分析、模型、算法和射频前端模块原型）对于申请人的跨国行业合作伙伴至关重要。此外，至少 15 名学生、研究员和博士后将在 6GHz 以下 mMIMO 通信技术演进的最前沿发展知识和实践技能。这些高素质人员将与来自世界领先行业合作伙伴的研究人员和工程师密切合作，他们的研究将为这些合作伙伴提供基于 mMIMO 的实际基础设施部署的关键知识。这将有助于确保加拿大工业获得高技能劳动力，并处于 5G 网络设备商业化的前沿。此外，所需设备所取得的成果将帮助我们认识到 mMIMO 通信技术的优势，以满足无线通信领域服务提供数字化转型所带来的惊人的高数据速率、低延迟和高连接性需求。