CAREER: Scalable MIMO Spatial Filtering and Synchronization for Heterogenous Wireless Networks

职业：异构无线网络的可扩展 MIMO 空间过滤和同步

• 批准号: 1554720
• 负责人: Arun Natarajan
• 金额: $ 50万
• 依托单位: Oregon State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-03-01 至 2022-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1554720&HistoricalAwards=false
• 关键词: CAREER; Scalable; MIMO; Spatial; Filtering

Wireless networks are an integral part of the information infrastructure and are more widespread than even access to electricity in some parts of the world. The primary challenge for next-generation wireless networks is data capacity. Wireless data usage is doubling every year and network providers are projecting demand approaching one gigabit per user per day. This requires a 1000x increase in network capacity and 100x increase in worst-case data rates. Since availability of spectrum is limited, the higher capacity must be achieved by sharing existing spectrum among users and improving the performance of wireless systems. However, mobile applications also require low power consumption for longer battery life. This project will investigate energy-efficient wireless circuits and systems for next-generation wireless networks that can provide gigabit per second links while operating under dense spectrum reuse. Developing such wireless systems has broad impact since improving the availability and speed of wireless links will expand existing applications as well as enable new applications that benefit economy and society. Synergy between education and research includes the creation of an inter-disciplinary course on multiple-input multiple-output (MIMO) communications. This will allow students to identify and solve high-impact cross-domain problems in wireless networks. Outreach to high school students will create opportunities for early exposure to research environments, strengthening STEM pipelines.Next-generation wireless networks will be based on MIMO systems for increased capacity in the context of spectrum scarcity and extreme densification. This project investigates MIMO circuits and architectures to achieve interference cancellation and enable next-generation, high-capacity wireless networks. The increasing speed of CMOS transistors and near-zero incremental cost of additional transistors allow the development of novel integrated architectures that leverage multiple transmit-receive elements to achieve higher performance and interferer tolerance. Ensuring the scalability of such architectures in terms of energy-efficiency and performance is critical as next-generation networks transition to larger number of elements and higher performance. This project will also study circuits and architectures for simplifying synchronization between elements in large-scale MIMO arrays. Using multiple elements to improve transceiver frontend performance results in relaxed analog-to-digital converter requirements, thereby enabling digital-intensive architectures that further support scalability.

无线网络是信息基础架构不可或缺的一部分，并且比世界某些地区的电力更为广泛。下一代无线网络的主要挑战是数据容量。无线数据使用每年都在增加一倍，网络提供商预测需求每天每天接近一千兆位。这需要网络容量增加1000倍，而最差的数据速率提高100倍。由于频谱的可用性有限，因此必须通过在用户之间共享现有频谱并提高无线系统的性能来实现较高的容量。但是，移动应用也需要低功耗才能延长电池寿命。 该项目将调查用于下一代无线网络的节能无线电路和系统，这些网络可以在密集的频谱重复使用下运行时每秒提供千兆位。开发此类无线系统具有广泛的影响，因为提高无线链接的可用性和速度将扩大现有应用程序，并启用使经济和社会受益的新应用程序。教育与研究之间的协同作用包括创建有关多输入多输出（MIMO）通信的跨学科课程。这将使学生能够在无线网络中识别和解决高影响力的跨域问题。向高中生的宣传将为早期接触研究环境，加强STEM管道创造机会。次生生成无线网络将基于MIMO系统，以增加频谱稀缺和极端致密性的背景下的能力。该项目研究了MIMO电路和体系结构，以实现干扰取消并实现下一代，高容量的无线网络。 CMOS晶体管和其他晶体管的接近零增量成本的提高允许开发新型的集成体系结构，以利用多种跨媒介元素来实现更高的性能和干扰物的公差。在下一代网络过渡到较大数量的元素和更高的性能时，确保此类体系结构的可伸缩性至关重要。该项目还将研究电路和体系结构，以简化大规模MIMO阵列中元素之间的同步。使用多个元素改善收发器前端性能会导致轻松的模数转换器要求，从而实现数字密集型体系结构，以进一步支持可扩展性。