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设施不可或缺的一部分，在世界某些地区，无线网络的普及程度甚至超过了对电力的使用。下一代无线网络面临的主要挑战是数据容量。无线数据使用量每年翻一番，网络提供商预计需求接近每个用户每天1千兆位。这需要将网络容量提高1000倍，并将最坏情况下的数据速率提高100倍。由于频谱的可获得性是有限的，因此必须通过在用户之间共享现有频谱和提高无线系统的性能来获得更高的容量。然而，移动应用程序也需要较低的功耗才能延长电池寿命。该项目将研究用于下一代无线网络的节能无线电路和系统，这些电路和系统可以提供每秒千兆位的链路，同时在密集频谱重用下运行。开发这样的无线系统具有广泛的影响，因为提高无线链路的可用性和速度将扩大现有的应用，并使新的应用能够造福于经济和社会。教育和研究之间的协同作用包括设立关于多输入多输出(MIMO)通信的跨学科课程。这将使学生能够识别和解决无线网络中影响较大的跨域问题。对高中生的接触将创造机会，让他们及早接触研究环境，加强STEM管道。下一代无线网络将基于MIMO系统，以在频谱稀缺和极端致密化的背景下增加容量。该项目研究MIMO电路和体系结构，以实现干扰消除并实现下一代高容量无线网络。随着cmos晶体管速度的提高和附加晶体管成本的近乎零的增加，可以开发利用多个发送-接收元件来实现更高性能和干扰容限的新型集成架构。随着下一代网络向更多元素和更高性能过渡，确保此类架构在能效和性能方面的可扩展性至关重要。该项目还将研究用于简化大规模MIMO阵列中元件之间的同步的电路和架构。使用多个元件来提高收发器前端性能可以降低模数转换器的要求，从而实现进一步支持可扩展性的数字密集型架构。