EARS: Energy- and Cost-Efficient Spectrum Utilization with Full-Duplex mm-wave Massive MIMO

EARS：通过全双工毫米波大规模 MIMO 实现节能且经济高效的频谱利用

• 批准号: 1642920
• 负责人: Borivoje Nikolic
• 金额: $ 130万
• 依托单位: University of California-Berkeley
• 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: 2016-10-01 至 2020-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1642920&HistoricalAwards=false
• 关键词: EARS; Energy; Cost; Efficient; Spectrum

Fifth-generation (5G) wireless systems are expected to provide enormous improvements in data rates available to users, as well as much improvement overall user experience. Massive multiple-input multiple-output (MIMO) arrays consist of hundreds of antenna elements, serving many users and are considered to be a cornerstone of 5G wireless systems, and are expected to dramatically improve both the radio spectrum utilization and user experience. At the same time, the use of millimeter-wave (mm-wave) frequencies is supposed to provide additional spectrum for new services in the years to come, and small physical antenna separation makes mm-wave attractive for massive MIMO. While there has been substantial progress in the development of the theoretical concepts associated with the design of massive MIMO systems, very little work has been done to actually design a mm-wave massive MIMO system and on the network techniques needed to scale these systems to dozens of simultaneous spatial streams. This proposal addresses the key challenges in the development of signal processing algorithms, network protocols, and a prototype hardware design to enable scalable low-latency mm-wave MIMO networks with high degrees of spatial multiplexing. It will provide a path to a hundred-fold improvement in user data rates. By integrating the theoretical system aspects with its practical development, this proposal addresses critical challenges for the development of mm-wave massive MIMO technologies. In particular, this project aims to achieve: (1) a mm-wave massive MIMO array architecture suitable for low-cost and energy-efficient deployment at massive scale, (2) an optimized scalable signal processing approach to massive MIMO array processing, which includes hybrid beamforming, distributed channel estimation and distributed beamforming, (3) a medium-access control (MAC) technique suitable for low-latency, low-coherence time applications by leveraging a full-duplex frame to enable rapid user acquisition, synchronization, tracking, and paging, (4) practical in-band full-duplex operation, realized through a combination of antenna array design, spatial filtering, and adaptive analog and digital cancellation, (5) practical front-end circuits with linearity and phase noise suitable for a large number of simultaneous spatial streams, and (6) a mm-wave massive MIMO test bed designed in a modular manner to enable future development and performance measurements of signal processing and MAC techniques. In addition to cross-disciplinary training of students involved in this project, interaction of project members with industry leaders will dramatically accelerate the penetration of 5G wireless communications.

预计第五代（5G）无线系统将为用户提供巨大的数据速率改进，并大大改善整体用户体验。 大规模多输入多输出（MIMO）阵列由数百个天线元件组成，为许多用户提供服务，被认为是5G无线系统的基石，预计将大大提高无线电频谱利用率和用户体验。 与此同时，毫米波（mm波）频率的使用应该为未来几年的新服务提供额外的频谱，并且小的物理天线间隔使得mm波对大规模MIMO具有吸引力。 虽然在与大规模MIMO系统的设计相关联的理论概念的发展方面已经取得了实质性的进展，但是实际上设计毫米波大规模MIMO系统以及将这些系统扩展到数十个同时空间流所需的网络技术的工作很少。该提案解决了信号处理算法、网络协议和原型硬件设计开发中的关键挑战，以实现具有高度空间复用的可扩展低延迟毫米波MIMO网络。 它将为用户数据速率的百倍提高提供一条途径。通过将理论系统方面与其实际发展相结合，该提案解决了毫米波大规模MIMO技术发展的关键挑战。 具体而言，该项目旨在实现：（1）适合于大规模低成本和节能部署的毫米波大规模MIMO阵列架构，（2）用于大规模MIMO阵列处理的优化的可扩展信号处理方法，其包括混合波束成形、分布式信道估计和分布式波束成形，（3）适合于低延迟的介质访问控制（MAC）技术，低相干时间应用，通过利用全双工帧来实现快速用户捕获、同步、跟踪和寻呼，（4）实际的带内全双工操作，通过天线阵列设计、空间滤波和自适应模拟和数字消除的组合来实现，（5）具有适合于大量同时空间流的线性度和相位噪声的实用前端电路，以及（6）以模块化方式设计的毫米波大规模MIMO测试床，以实现信号处理和MAC技术的未来开发和性能测量。除了对参与该项目的学生进行跨学科培训外，项目成员与行业领导者的互动将大大加速5G无线通信的渗透。

项目成果

A 57–74-GHz Tail-Switching Injection-Locked Frequency Tripler in 28-nm CMOS

• DOI: 10.1109/lssc.2019.2933158
• 发表时间: 2019-09
• 期刊: IEEE Solid-State Circuits Letters
• 影响因子: 2.7
• 作者: L. Iotti;G. LaCaille;A. Niknejad

Optimizing the LO Distribution Architecture of mm-Wave Massive MIMO Receivers.

• 发表时间: 2019-11
• 期刊: arXiv: Signal Processing
• 作者: G. LaCaille;A. Puglielli;E. Alon;B. Nikolić;A. Niknejad

Design and Demonstration of a Scalable Massive MIMO Uplink at E-Band

E 频段可扩展大规模 MIMO 上行链路的设计和演示

• DOI: 10.1109/iccworkshops49005.2020.9145323
• 发表时间: 2020
• 期刊: 2020 IEEE International Conference on Communications Workshops (ICC Workshops
• 作者: LaCaille, Greg;Dunn, James;Puglielli, Antonio;Iotti, Lorenzo;Ramakrishnan, Sameet;Calderin, Lucas;Lin, Zhenghan;Naviasky, Emily;Nikolic, Borivoje;Niknejad, Ali
• 通讯作者: Niknejad, Ali

A 12mW 70-to-100GHz mixer-first receiver front-end for mm-wave massive-MIMO arrays in 28nm CMOS

适用于 28nm CMOS 毫米波大规模 MIMO 阵列的 12mW 70 至 100GHz 混频器优先接收器前端

• DOI: 10.1109/isscc.2018.8310360
• 发表时间: 2018
• 期刊: 2018 IEEE International Solid - State Circuits Conference - (ISSCC
• 作者: Iotti, Lorenzo;LaCaille, Greg;Niknejad, Ali M.
• 通讯作者: Niknejad, Ali M.