Collaborative Research: CNS core: Medium: True-Time-Delay based MIMO System and Testbed for Low-Latency Wideband Beam and Interference Management in Millimeter Wave Networks
Collaborative Research: CNS core: Medium: True-Time-Delay based MIMO System and Testbed for Low-Latency Wideband Beam and Interference Management in Millimeter Wave Networks
批准号:
1955672
负责人:
Danijela Cabric
金额:
$55.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-10-01 至 2024-09-30
中文摘要
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英文摘要
Given the shortage of spectrum below 6GHz, millimeter wave (mmW) frequencies have played an important role in the emerging 5G networks and this trend is expected to continue in the next generations. Due to unfavorable propagation conditions and attenuation at high frequencies, mmW networks require the densification of base stations and radios equipped with a large number of antennas to compensate path loss via directional gain using narrow beams. The cost and power consumption of radios with antenna arrays present a significant challenge, and their architecture is of fundamental importance and influence on the entire networking stack. State-of-the-art approaches based on phased antenna array architecture are faced with several fundamental problems when radio bandwidth and the number of antennas increases including prohibitive latency in initial connectivity and link management, distortion in the directionality of the beams, reduced beamforming gain, and ability to suppress the interference in dense deployments. This project aims to develop and demonstrate a novel adaptive true-time-delay (TTD) based array for wideband mmW networks and overcome challenges of phased antenna arrays. The approach involves co-design and optimization of tunable radio frequency (RF) circuits, antenna array system, signal processing, and network protocols for low latency access, wideband beamforming gain, and interference management. The research work will pursue four key thrusts: Thrust 1 will develop TTD array-based fast beam training and spatial interference detection and estimation for mmW networks with large modulated bandwidth. The objective is to reduce the overhead in initial access due to beam training by exploiting frequency-dependent antenna weight vectors in TTD arrays through signal processing and develop a low latency protocol design for simultaneous beam training and interference estimation in dense mmW networks. Thrust 2 will focus on the data communication design using TTD arrays to facilitate multiple-input multiple-output (MIMO) multiplexing and suppress interference from co-channel base stations and users. The main challenge is to achieve high beamforming gain over a wide modulated bandwidth together with effective nulling of wideband interferers. Thrust 3 will develop an experimental testbed for the evaluation of signal processing algorithms and protocols from Thrusts 1 and 2. It will involve the integration of widely reconfigurable delay compensating circuits and custom mmW front-end at 28GHz into a 16-element TTD antenna array. Thrust 4 will experimentally validate TTD array-based beam training, squint-free wideband beamforming and interference nulling, and wideband MIMO communications using the testbed developed in Thrust 3.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.
期刊论文(13)
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Joint Millimeter-Wave AoD and AoA Estimation Using one OFDM Symbol and Frequency-Dependent Beams
使用一个 OFDM 符号和频率相关波束的联合毫米波 AoD 和 AoA 估计
DOI:
10.1109/icassp49357.2023.10094643
发表时间:
2023
期刊:
Speech and Signal Processing (ICASSP
影响因子:
--
作者:
[Boljanovic, Veljko, Cabric, Danijela]
通讯作者:
Cabric, Danijela
DOI:
10.1109/jssc.2022.3178798
发表时间:
2022-06-08
期刊:
IEEE JOURNAL OF SOLID-STATE CIRCUITS
影响因子:
5.4
作者:
[Lin, Chung-Ching, Puglisi, Chase, Gupta, Subhanshu]
通讯作者:
Gupta, Subhanshu
DOI:
10.1109/tcsi.2021.3054428
发表时间:
2021-04
期刊:
IEEE Transactions on Circuits and Systems I: Regular Papers
影响因子:
--
作者:
[Veljko Boljanovic;Han Yan;Chung-Ching Lin;Soumen Mohapatra;D. Heo;Subhanshu Gupta;D. Cabric]
通讯作者:
Veljko Boljanovic;Han Yan;Chung-Ching Lin;Soumen Mohapatra;D. Heo;Subhanshu Gupta;D. Cabric
A 4-Element 800MHz-BW 29mW True-Time-Delay Spatial Signal Processor Enabling Fast Beam-Training with Data Communications
4 元件 800MHz-BW 29mW 实时延迟空间信号处理器,通过数据通信实现快速波束训练
DOI:
--
发表时间:
2021
期刊:
Proceedings of the European Solid State Device Research Conference
影响因子:
--
作者:
[Chung-Ching Lin, Chase Puglisi]
通讯作者:
Chung-Ching Lin, Chase Puglisi
3D Rainbow Beam Design for Fast Beam Training with True-Time-Delay Arrays in Wideband Millimeter-Wave Systems
宽带毫米波系统中使用真延时阵列进行快速波束训练的 3D 彩虹波束设计
DOI:
10.1109/ieeeconf53345.2021.9723402
发表时间:
2021
期刊:
and Computers
影响因子:
--
作者:
[Wadaskar, Aditya, Boljanovic, Veljko, Yan, Han, Cabric, Danijela]
通讯作者:
Cabric, Danijela
共 13 条
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批准号:2328947
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项目类别:Continuing Grant
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资助金额:$47.0万
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负责人:Danijela Cabric
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NSF-AoF: CNS Core: Small: Machine Learning Based Physical Layer and Mobility Management Solutions Towards 6G
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批准号:2224322
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依托单位:
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批准号:1718742
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资助金额:$50.0万
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资助金额:$20.0万
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CAREER: Cognitive Co-Existence in Heterogeneous Wireless Networks
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批准号:1149981
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项目类别:Continuing Grant
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资助金额:$41.99万
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财政年份:2012
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负责人:Danijela Cabric
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依托单位:
NeTS: Small:Spatio-Temporal Spectrum Sensing
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批准号:1117600
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项目类别:Standard Grant
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资助金额:$25.0万
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财政年份:2011
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负责人:Danijela Cabric
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依托单位:
国内基金
海外基金
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