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CAREER: Scalable and Ubiquitous Millimeter-Wave Wireless Networks

CAREER: Scalable and Ubiquitous Millimeter-Wave Wireless Networks
职业:可扩展且无处不在的毫米波无线网络
批准号:
2238245
负责人:
Omid Abari
金额:
$57.7万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-10-01 至 2028-09-30

项目摘要

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中文摘要
翻译
计算技术的进步使新兴应用成为可能,如外科手术、在线教育、机器人自动化和数字孪生等,这些应用需要高数据速率、低延迟和可靠的无线连接。现代无线网络(如5G和6 G)已经承诺实现这种连接。然而,这些网络面临着两个主要问题,这使得它们无法扩展和无处不在。首先,它们的覆盖面有限。具体而言,为了实现高数据速率连接,这些网络使用非常高频的信号进行通信。 不幸的是,这些信号经历高路径损耗,并且还容易被障碍物、人体或墙壁阻挡。因此,这些网络不能在偏远地区或具有静态或移动的障碍物的环境中提供可靠的高数据速率链路。第二,它们的无线电消耗的功率比较低频率的无线电(例如WiFi)高。因此,能源有限的设备(如电池容量小的传感器)无法从这些网络中受益。该项目解决了上述问题,无论何时何地都能实现高数据速率、低延迟和可靠的无线连接。此外,开发新的无线技术对于美国成为5G/6 G及其应用的领导者具有重要的战略意义。该项目是一个跨学科的研究项目,将对教育、智能环境、健康、农业和应急响应等社会的各个方面产生重大影响。该项目的目标是使毫米波(mmWave)网络具有可扩展性和普遍性。为了实现这一目标,它开发了新型中继器和表面,可以扩展毫米波网络的覆盖范围和可靠性。该设计是低成本和低功耗的,同时支持多个用户和移动性。 该项目还开发了一种新的方案,使能源受限的设备能够从毫米波网络中获取能量,并使用它来为其毫米波无线电供电。该研究采取了整体观点,并在无线堆栈的所有层进行了创新。为此,研究人员将设计和构建新型天线和硬件,实现无源波束成形和转向,实现低功率链路建立的新型算法,以及实现端到端系统的网络协议。最后,该系统将被集成到智能家居应用中,以展示其上级功能。该奖项反映了NSF的法定使命,并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。
英文摘要
Advancement in computing has enabled emerging applications such as telesurgery, online education, robot automation, and digital twins which require high-data-rate, low-latency, and reliable wireless connectivity. Modern wireless networks (such as 5G and 6G) have promised to enable such connectivity. However, these networks have faced two major problems which prevent them from becoming scalable and ubiquitous. First, they have limited coverage. Specifically, to enable high data-rate connectivity, these networks use very high-frequency signals for communications. Unfortunately, these signals experience high path-loss, and also get easily blocked by obstacles, the human body, or walls. Therefore, these networks do not provide reliable high-data-rate links in remote areas, or environments with static or mobile obstacles. Second, their radios consume higher power than lower frequency radios (e.g. WiFi). Hence, devices with limited energy sources (such as sensors with small batteries) cannot benefit from these networks. This project tackles the above problems, enabling high data-rate, low-latency, and reliable wireless connectivity wherever and whenever is needed. Moreover, developing new wireless technology is strategically important for setting the US as the leader in 5G/6G and its applications. The proposed research is interdisciplinary in nature and will have a significant impact on different aspects of the society such as education, smart environment, health, agriculture, and emergency response.The goal of this project is to make millimeter Wave (mmWave) networks scalable and ubiquitous. To achieve this, it develops novel repeaters and surfaces which can extend coverage and reliability of mmWave networks. The design is low-cost and low-power while supporting multiple users and mobility. The project also develops a new scheme enabling energy-constrained devices to harvest energy from mmWave networks, and use it to power up their mmWave radios. The research takes a holistic view, and innovates across all layers of the wireless stack. To this end, the researchers will design and build novel antennas and hardware that enables passive beamforming and steering, novel algorithms that enable low-power link establishment, and networking protocols which enable end-to-end systems. Finally, the system will be integrated into the Smart Home application, to demonstrate its superior capabilities.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.
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Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis