Energy Efficient Millimeter Wave Massive MIMO Wireless Communications

高能效毫米波大规模 MIMO 无线通信

• 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

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.

低功耗高性能无线设备，实现大规模连接A。Lee Swindlehurst和Michael绿色加州大学欧文分校所谓的“物联网”（IoT）是指所有类型的物理设备的互联网，以便允许它们收集数据并相互通信，或者与允许它们与互联网交换数据的接入点进行通信，从而与整个世界交换数据。这种设备可以用于许多应用，包括医疗、交通、民用基础设施、环境监测以及个人通信。这些设备感知环境、相互通信和互联网的能力将引发一场革命，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）以及它们的能耗（以便它们可以长时间运行而无需更换）。在过去的几十年里，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。纳米纤维的进步允许创建微小的传感器和执行器，这些传感器和执行器只需要非常少量的能量或对环境的最小访问即可运行。然而，与模拟电子转换、放大和通信相关的物理限制要克服得更慢。该项目的目标是帮助弥补这一差距，并开发简单、低功耗、低复杂度的射频设备，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。需要新的技术和硬件实现来降低收发器的尺寸、成本和功耗，从而实现物联网设备的无处不在的部署以及节能的千兆每秒无线网络。基于这一愿景，我们的项目集中在几个新的研究计划，将推动无线系统在这一方向：（1）一个新的概念，大规模MIMO射频硬件的基础上可重构的一位直接检测（DDA）天线，可能既不需要混频器，也不需要本地振荡器的产生和分配，并实现更简单的天线馈电，高能效，低成本和超快的信令;（2）基于电感器调谐的新集成电路实现，以验证DDA概念，并说明如何使用经由无线LO分布的无混频器解调来显著简化毫米波频带的RF前端;（3）利用不依赖于白色量化噪声的假设的1比特ADC/DAC的上行链路/下行链路信道容量结果，基于角频率域中的新推导。这些结果将更适合于毫米波信道，往往是稀疏和频率选择性。(4)具有1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（并且因此显著地简化了必要的数字计算），并且仍然基本上优于传统方法，并且可以与信道编码技术相结合;（5）更真实的低分辨率ADC和DAC硬件模型，可考虑数据中的带外发射和互调产物，以便确定在什么条件下它们可以被忽略以及如何以其他方式减轻它们。该奖项反映了NSF的法定使命，通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Dynamic Hybrid Beamforming With Low-Resolution PSs for Wideband mmWave MIMO-OFDM Systems

用于宽带毫米波 MIMO-OFDM 系统的具有低分辨率 PS 的动态混合波束成形

• DOI: 10.1109/jsac.2020.3000878
• 发表时间: 2020-09-01
• 期刊: IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
• 影响因子: 16.4
• 作者: Li, Hongyu;Li, Ming;Swindlehurst, A. Lee
• 通讯作者: Swindlehurst, A. Lee

Massive Mimo Channel Estimation with 1-Bit Spatial Sigma-delta ADCS

• DOI: 10.1109/icassp.2019.8682842
• 发表时间: 2019-05
• 期刊: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
• 作者: Shilpa Rao;A. L. Swindlehurst;Hessam Pirzadeh

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

• DOI: 10.1109/mcom.001.2000601
• 发表时间: 2021-05-01
• 期刊: IEEE COMMUNICATIONS MAGAZINE
• 影响因子: 11.2
• 作者: Li, Ang;Masouros, Christos;Yu, Wei
• 通讯作者: Yu, Wei

Interference Exploitation Precoding for Multi-Level Modulations: Closed-Form Solutions

• DOI: 10.1109/tcomm.2020.3031616
• 发表时间: 2021-01-01
• 期刊: IEEE TRANSACTIONS ON COMMUNICATIONS
• 影响因子: 8.3
• 作者: Li, Ang;Masouros, Christos;Swindlehurst, A. Lee
• 通讯作者: Swindlehurst, A. Lee

Massive MIMO Channel Estimation With Low-Resolution Spatial Sigma-Delta ADCs

• DOI: 10.1109/access.2021.3101159
• 发表时间: 2020-05
• 期刊: IEEE Access
• 影响因子: 3.9
• 作者: Shilpa Rao;G. Seco-Granados;Hessam Pirzadeh;A. L. Swindlehurst