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.

低功率高性能无线设备，用于大规模连通性。 Lee Swindlehurst和加利福尼亚州迈克尔·格林分校所谓的“物联网”（IoT）是指所有类型的物理设备的网络工程，以便让他们彼此收集数据并与访问点进行收集，或者与互联网和整个世界的访问点交换可能是一个有用的属性。环境监控以及个人沟通能力。在过去的几十年中，数字硬件的进步导致了电路微型化，这反过来允许具有数十亿晶体管的复杂微处理器占据不超过PIN头的空间。纳米制作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仅需要少量的能量或最少访问其环境才能操作。但是，与模拟电子转化，放大和通信相关的物理约束尚待克服。该项目的目的是帮助弥补这一差距，并开发简单，低功率，低复杂的射频设备，可以与复杂的软件一起使用，以使IoT愿景成为现实。需要新的技术和硬件实现，以减少收发器的大小，成本和功耗，这将使物联网设备无处不在，以及每秒无线无线网络。在这个愿景的激励下，我们的项目着重于几项新的研究计划，这些计划将朝这个方向推动无线系统：（1）基于可重新配置的一位直接检测（DDA）天线的大规模MIMO RF硬件的新概念，该天线潜在地不需要混合器，也不需要本地振荡器，也不需要本地振荡器的生成和分配，并启用了更简单的Enterna Feeding，Sightna Feeding，Sightna Feeding，Sightna Feeding，Sight Feped and Feprist和Ulterfients和Ulterfient，Upterfient和Ulterf ASTIST和ULTERS UPTERT; （2）基于电感器调整的新的集成电路实现，以验证DDA概念，并说明如何使用无线LO分布的无混合解调来显着简化毫米波频带的RF前端；（3）基于角度频域中的新推导，它不依赖于白色量化噪声的假设，其上行链路/下链路通道容量结果不依赖于白色量化噪声的假设。这些结果将更适合往往是稀疏和频率选择性的毫米波通道。（4）具有一位DAC的新型有限字段下行链路上链接编码不需要乘法和添加的标准算术操作（因此大大简化了必要的数字计算），但仍然可以比传统的方法相当多，并且可以与通道编码技术相结合；（5）低分辨率ADC和DAC硬件的更现实的模型，这些模型占数据中带外排放和交换产物，以确定在哪些条件下可以忽略它们以及如何缓解它们。预期的研究解决了下一代无线系统的关键挑战，对于低功率物联网技术的成功也很高。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子和更广泛影响的评估评估的评估值得支持的。

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）

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)
影响因子：
0
作者：
Shilpa Rao;A. L. Swindlehurst;Hessam Pirzadeh
通讯作者：
Shilpa Rao;A. L. Swindlehurst;Hessam Pirzadeh

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