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
• 负责人: Boumaiza, Slim
• 金额: $ 7.94万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 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=699521
• 关键词: Real; time; Digital; Signal; Processing

Worldwide, fifth generation (5G) wireless communication focused research efforts continue to expand, their goal being the development of new reconfigurable networks with ultra-high throughput, ultra-low latency, and ubiquitous connectivity. Interest in the concept of massive multiple-input multiple-output (MIMO), a cornerstone of the future 5G physical layer, continues to grow given its capacity to simultaneously increase spectral efficiency and system throughput, reduce transmission power and improve user experience while reducing the complexity of user equipment. Industry players are competing to be the first to bring wireless solutions to market that achieve the full potential of 5G. To succeed, they must possess cost-effective infrastructure solutions with radio frequency hardware capable of meeting the challenging requirements of both signal quality and power consumption under realistic operating conditions. The proposed project is the result of collaborative exploratory research carried out by the co-applicants and industry. It will develop efficient real-time digital signal processing (DSP) precoding methods that account for practical constraints and limitations associated with radio frequency hardware, mixed-signal circuits and computer hardware. This will be critical to the realization of low-power 5G transmitters that will unlock the full potential of massive MIMO. The project will provide a 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. These students will work closely with researchers and engineers from Ericsson and Keysight, and the project will provide industry partners with critical knowledge for practical massive MIMO-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.

全球，第五代（5G）无线沟通的研究工作继续扩展，其目标是通过超高吞吐量，超低潜伏期和无处不在的连通性开发新的可重构网络。鉴于其同时提高光谱效率和系统吞吐量的能力，对大量多输入多输出（MIMO）的概念的兴趣（MIMO）是未来5G物理层的基石的兴趣，继续增长用户设备的复杂性。行业参与者竞争是第一个将无线解决方案带入市场，以实现5G的全部潜力。为了取得成功，他们必须拥有具有成本效益的基础设施解决方案，其射频硬件能够满足现实操作条件下的信号质量和功耗的挑战性要求。 拟议的项目是共同申请者和行业进行的协作探索性研究的结果。它将开发有效的实时数字信号处理（DSP）预编码方法，以说明与射频硬件，混合信号电路和计算机硬件相关的实际约束和限制。这对于实现低功率5G发射器的实现至关重要，这些发射器将释放大量MIMO的全部潜力。该项目将在高级DSP技术，微波和无线通信系统工程，测试和测量技术，数字硬件以及为研究生的实时系统中提供全面的理论和技术培训。这些学生将与Ericsson和Keysight的研究人员和工程师紧密合作，该项目将为行业合作伙伴提供重要的知识，以实施基于MIMO的基础架构部署。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。