Energy Efficient Millimeter Wave Massive MIMO Wireless Communications

高能效毫米波大规模 MIMO 无线通信

基本信息

批准号：
1824565
负责人：
Arnold Swindlehurst
金额：
$ 65.94万
依托单位：
University of California-Irvine
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-09-01 至 2022-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1824565&HistoricalAwards=false
关键词：
Energy Efficient Millimeter Wave Massive

项目摘要

Low-Power High-Performance Wireless Devices for Massive ConnectivityA. Lee Swindlehurst and Michael Green University of California IrvineThe so-called "Internet of Things'' (IoT) refers to the inter-networking of all types of physical devices in order to allow them to collect data and communicate with one another, or with an access point that allows them to exchange data with the internet and hence the entire world. There is a plethora of applications where such devices could be useful, including medicine, transportation, civil infrastructure, environmental monitoring, as well as personal communications. The ability of these devices to sense their environment and communicate with each other and the internet will lead to a revolution that will improve our health, our environment and our overall quality of life. In order for the IoT revolution to become a reality, significant advances are needed to reduce the cost of these devices (so that they can be deployed ubiquitously) as well as their energy consumption (so that they can operate for long periods of time without replacement). Advances in digital hardware over the past decades has resulted in circuit miniaturization that has in turn allowed for complicated microprocessors with billions of transistors to occupy a space no bigger than the head of a pin. Advances in nanofabrication have allowed for the creation of tiny sensors and actuators that require only very small amounts of energy or minimal access to their environment in order to operate. However, the physical constraints associated with analog electronic conversion, amplification and communication have been slower to be overcome. The goal of this project is to help remedy this gap, and develop simple, low-power, low-complexity radio-frequency devices that can be used in conjunction with sophisticated software to enable the IoT vision to become a reality. New techniques and hardware implementations are needed that reduce the size, cost and power consumption of transceivers that will enable ubiquitous deployment of IoT devices as well as energy efficient gigabit-per-second wireless networks. Motivated by this vision, our project focuses on several new research initiatives that will push wireless systems in this direction: (1) A new concept for massive MIMO RF hardware based on reconfigurable one-bit direct detection (DDA) antennas that potentially require neither mixers nor local oscillator generation and distribution, and enable simpler antenna feeding, high energy efficiency, lower cost and ultrafast signaling; (2) New integrated circuit implementations based on inductor tuning to validate the DDA concept and illustrate how mixer-less demodulation via wireless LO distribution can be used to dramatically simplify the RF front end for millimeter-wave frequency bands; (3) Uplink/downlink channel capacity results with one-bit ADCs/DACs that do not rely on the assumption of white quantization noise, based on a new derivation in the angular frequency domain. These results will be better suited for millimeter-wave channels that tend to be sparse and frequency-selective. (4) New types of finite field downlink precoders with one-bit DACs that do not require the standard arithmetic operations of multiplication and addition (and hence considerably simplify the necessary digital computations), and yet still substantially outperform conventional methods and can be combined with channel coding techniques; (5) More realistic models for low-resolution ADC and DAC hardware that account for out-of-band emissions and intermodulation products in the data, in order to determine under what conditions they can be ignored and how they can be mitigated otherwise. The anticipated research addresses critical challenges for next-generation wireless systems and is also of high relevance for the success of low-power IoT technology.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

用于大规模连接的低功耗高性能无线设备加州大学欧文分校的 Lee Swindlehurst 和 Michael Green 所谓的“物联网”(IoT) 是指所有类型的物理设备相互联网，以便让它们能够收集数据并相互通信，或者与某个设备进行通信。允许它们与互联网乃至整个世界交换数据的接入点此类设备可以用于多种应用，包括医学、交通、民用基础设施、环境监测以及个人通信。这些设备可以感知环境相互通信和互联网将引发一场革命，改善我们的健康、环境和整体生活质量。为了使物联网革命成为现实，需要取得重大进展来降低这些设备的成本。（以便它们可以无处不在地部署）以及它们的能源消耗（以便它们可以长时间运行而无需更换）。过去几十年来数字硬件的进步导致了电路的小型化，这反过来又允许具有数十亿个晶体管的复杂微处理器占据不大于引脚头部的空间。纳米制造的进步使得微型传感器和执行器的诞生成为可能，这些传感器和执行器只需要极少量的能量或极少的环境接触即可运行。然而，与模拟电子转换、放大和通信相关的物理限制的克服速度较慢。该项目的目标是帮助弥补这一差距，并开发简单、低功耗、低复杂性的射频设备，这些设备可以与复杂的软件结合使用，使物联网愿景成为现实。需要采用新技术和硬件实现来减小收发器的尺寸、成本和功耗，从而实现物联网设备的普遍部署以及节能的每秒千兆位无线网络。受这一愿景的推动，我们的项目重点关注几项新的研究举措，这些举措将推动无线系统朝这个方向发展：(1) 大规模 MIMO RF 硬件的新概念，基于可重新配置的一位直接检测 (DDA) 天线，可能不需要混频器也不需要本地振荡器的生成和分配，并且可以实现更简单的天线馈电、高能效、更低的成本和超快信号传输； (2) 基于电感器调谐的新集成电路实现，以验证 DDA 概念，并说明如何使用通过无线 LO 分配的无混频器解调来显着简化毫米波频段的 RF 前端； (3) 基于角频域中的新推导，使用不依赖白量化噪声假设的一位 ADC/DAC 得出上行链路/下行链路信道容量。这些结果将更适合稀疏且频率选择性的毫米波信道。 (4) 具有一位 DAC 的新型有限域下行链路预编码器，不需要乘法和加法的标准算术运算（因此大大简化了必要的数字计算），但仍然大大优于传统方法，并且可以与信道编码技术； (5) 低分辨率 ADC 和 DAC 硬件的更现实的模型，可考虑数据中的带外发射和互调产物，以确定在什么条件下可以忽略它们以及如何减轻它们。预期的研究解决了下一代无线系统的关键挑战，也与低功耗物联网技术的成功高度相关。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优势和更广泛的评估进行评估，被认为值得支持。影响审查标准。

项目成果

期刊论文数量（25）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Joint Channel Estimation and Localization for Cooperative Millimeter Wave Systems

协作毫米波系统的联合信道估计和定位

DOI：
10.1109/spawc48557.2020.9154215
发表时间：
2020-05
期刊：
Proc. 2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC
影响因子：
0
作者：
Yang, Xi;Wen, Chao;Jin, Shi;Swindlehurst, A. Lee;Zhang, Jing
通讯作者：
Zhang, Jing

1-Bit Massive MIMO Transmission: Embracing Interference with Symbol-Level Precoding

1 位大规模 MIMO 传输：通过符号级预编码应对干扰

DOI：
10.1109/mcom.001.2000601
发表时间：
2020-07-28
期刊：
IEEE Communications Magazine
影响因子：
11.2
作者：
Ang Li;C. Masouros;A. L. Swindlehurst;Wei Yu
通讯作者：
Wei Yu

Multiuser Massive Mimo Downlink Precoding Using Second-Order Spatial Sigma-Delta Modulation

使用二阶空间 Sigma-Delta 调制的多用户大规模 Mimo 下行链路预编码

DOI：
10.1109/icassp40776.2020.9053267
发表时间：
2020-05-01
期刊：
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
影响因子：
0
作者：
Mingjie Shao;Wing;A. L. Swindlehurst
通讯作者：
A. L. Swindlehurst

Mitigation of Jamming Attack in Massive MIMO With One-Bit FBB Sigma-Delta ADCs

使用一位 FBB Sigma-Delta ADC 缓解大规模 MIMO 中的干扰攻击