CNS Core: Small: Software-Hardware Reconfigurable Systems for Mobile Millimeter-Wave Networks
CNS Core: Small: Software-Hardware Reconfigurable Systems for Mobile Millimeter-Wave Networks
批准号:
1910853
负责人:
Sanjib Sur
金额:
$50.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-10-01 至 2024-03-31
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Millimeter-wave is a core technology for next-generation wireless and cellular networks (5G and beyond). Networks using millimeter-wave technologies are expected to satiate the rapidly growing customer appetite for mobile data and to meet the stringent throughput, latency, and reliability requirements of emerging applications, such as immersive virtual and mixed reality, tactile internet, vehicular communications, and autonomous vehicles safety. However, high directionality, high channel dynamics, and sensitivity to blockages render state-of-the-art millimeter-wave technologies unsuitable for low-latency, high performance, and ultra-reliable applications. This research project focuses on designing software-hardware reconfigurable systems to address the key challenges and improve the performance, availability, and reliability of mobile millimeter-wave networks. This project will impact the broader population positively because it yields near-term benefits in 5G infrastructure and paves the way for long-term millimeter-wave research. Furthermore, this project will engage in outreach activities and involve a diverse set of students, particularly, women and minorities, leveraging the experimental nature of the research on next-generation wireless and cellular networks.The project addresses the key challenges by executing three thrusts: (1) MilliNet: To overcome high signal attenuation, millimeter-wave radios must focus their power via highly directional, electronically steerable beams. But, aligning the beams and maintaining the link between devices during obstruction and mobility are the fundamental barriers toward reliable connection. MilliNet, a faster beam alignment protocol, draws on ideas from the sparse channel recovery, allowing the radios to quickly discern the best physical millimeter-wave paths even under thousands of beams and picocell choices. (2) ReconMilli: To achieve spectrum flexibility, next-generation radios must be able to operate over a wide range of the spectrum, from micro-wave to millimeter-wave. But the fundamental challenge is that physical space on mobile devices is limited. ReconMilli, a reconfigurable antenna design, joins multiple millimeter-wave antennas physically into a micro-wave antenna, but splits it, when needed, into multiple millimeter-wave antennas; thus, achieving spectrum flexibility and saving physical space. (3) LiMesh: To make the deployment and maintenance of a 5G picocell mesh easy, mobile operators will use multi-Gbps fixed millimeter-wave links. Yet, disruptions in the wireless mesh are common; but, more importantly, such disruptions are catastrophic for ultra-reliable connectivity. LiMesh, an ultra-reliable picocell mesh design, leverages the fixed geometrical arrangement of the directional links to infer disruptions using a space-time failure correlation metric proactively. The research project will design, build, and empirically validate the proposed systems in millimeter-wave wireless test-beds.This project is jointly funded by the Computer and Network Systems (CNS) division and the Established Program to Stimulate Competitive Research (EPSCoR).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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Towards Deep Learning Augmented Robust D-Band Millimeter-Wave Picocell Deployment
迈向深度学习增强稳健 D 频段毫米波微微蜂窝部署
DOI:
10.1145/3595244.3595266
发表时间:
2023
期刊:
ACM SIGMETRICS Performance Evaluation Review
影响因子:
--
作者:
[Regmi, Hem, Sur, Sanjib]
通讯作者:
Sur, Sanjib
DOI:
10.1109/secon52354.2021.9491616
发表时间:
2021-07
期刊:
2021 18th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)
影响因子:
--
作者:
[Aakriti Adhikari;A. Hetherington;Sanjib Sur]
通讯作者:
Aakriti Adhikari;A. Hetherington;Sanjib Sur
A millimeter-wave wireless sensing approach for at-home exercise recognition
用于家庭运动识别的毫米波无线传感方法
DOI:
10.1145/3498361.3538781
发表时间:
2022
期刊:
ACM MobiSys
影响因子:
--
作者:
[Sitar, Edward M, Saadat, Moh Sabbir, Sur, Sanjib]
通讯作者:
Sur, Sanjib
Thin Film Enabled Engineered Substrate for Miniaturized Antennas with Improved Bandwidth
用于具有改进带宽的小型化天线的薄膜工程基板
DOI:
10.1109/ieeeconf35879.2020.9329840
发表时间:
2020
期刊:
2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting
影响因子:
--
作者:
[Ge, Jinqun, Wang, Guoan]
通讯作者:
Wang, Guoan
A Case for Line-Of-Sight Blockage Detection as a Primitive in Millimeter-Wave Networks
视距阻塞检测作为毫米波网络原语的案例
DOI:
--
发表时间:
2022
期刊:
IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems (MASS
影响因子:
--
作者:
[Sur, S, Nelakuditi, S]
通讯作者:
Nelakuditi, S
共 36 条
NeTS: Small: NSF-DST: Modernizing Underground Mining Operations with Millimeter-Wave Imaging and Networking
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批准号:2342833
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项目类别:Standard Grant
-
资助金额:$59.96万
-
财政年份:2024
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负责人:Sanjib Sur
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依托单位:
CAREER: Vision and Learning Augmented D-Band Networking and Imaging
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批准号:2144505
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资助金额:$56.0万
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财政年份:2022
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负责人:Sanjib Sur
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国内基金
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