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

合作研究： CNS 核心：中：基于真实时延的 MIMO 系统和毫米波网络中低延迟宽带波束和干扰管理的测试台

• 批准号: 1955306
• 负责人: Subhanshu Gupta
• 金额: $ 65万
• 依托单位: Washington State University
• 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
• 起止时间: 2020-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1955306&HistoricalAwards=false
• 关键词: Collaborative; Research; CNS; core; Medium

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.

鉴于6GHz以下频谱的短缺，毫米波（mmW）频率在新兴的5G网络中发挥了重要作用，并且这一趋势预计将在下一代中持续下去。由于不利的传播条件和高频衰减，毫米波网络需要配备大量天线的基站和无线电设备密集化，以通过使用窄波束的定向增益来补偿路径损耗。具有天线阵列的无线电的成本和功耗提出了重大挑战，其架构对于整个网络堆栈具有根本的重要性和影响。当无线电带宽和天线数量增加时，基于相控天线阵列架构的最先进方法面临着几个基本问​​题，包括初始连接和链路管理中令人望而却步的延迟、波束方向性失真、波束成形增益降低，以及抑制密集部署干扰的能力。该项目旨在开发和演示一种用于宽带毫米波网络的新型自适应实时延迟（TTD）阵列，并克服相控天线阵列的挑战。该方法涉及可调谐射频 (RF) 电路、天线阵列系统、信号处理和网络协议的协同设计和优化，以实现低延迟接入、宽带波束成形增益和干扰管理。 研究工作将追求四个关键目标： 第一个目标是为具有大调制带宽的毫米波网络开发基于 TTD 阵列的快速波束训练以及空间干扰检测和估计。目标是通过信号处理利用 TTD 阵列中频率相关的天线权重向量来减少波束训练带来的初始接入开销，并开发一种低延迟协议设计，用于密集毫米波网络中的同步波束训练和干扰估计。 Thrust 2将重点关注使用TTD阵列的数据通信设计，以促进多输入多输出（MIMO）复用并抑制来自同信道基站和用户的干扰。主要挑战是在宽调制带宽上实现高波束成形增益以及有效消除宽带干扰。 Thrust 3 将开发一个实验测试台，用于评估 Thrusts 1 和 2 中的信号处理算法和协议。它将涉及将广泛可重新配置的延迟补偿电路和 28GHz 的定制 mmW 前端集成到 16 元件 TTD 天线阵列中。 Thrust 4 将使用 Thrust 3 中开发的测试平台对基于 TTD 阵列的波束训练、无斜视宽带波束成形和干扰调零以及宽带 MIMO 通信进行实验验证。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准。

项目成果

Fast Beam Training With True-Time-Delay Arrays in Wideband Millimeter-Wave Systems

在宽带毫米波系统中使用真延时阵列进行快速波束训练

• DOI: 10.1109/tcsi.2021.3054428
• 发表时间: 2021-04
• 期刊: IEEE Transactions on Circuits and Systems I: Regular Papers
• 作者: Boljanovic, Veljko;Yan, Han;Lin, Chung;Mohapatra, Soumen;Heo, Deukhyoun;Gupta, Subhanshu;Cabric, Danijela
• 通讯作者: Cabric, Danijela

Multi-Mode Spatial Signal Processor With Rainbow-Like Fast Beam Training and Wideband Communications Using True-Time-Delay Arrays

多模式空间信号处理器，具有彩虹般的快速波束训练和使用真时延迟阵列的宽带通信

• DOI: 10.1109/jssc.2022.3178798
• 发表时间: 2022-11
• 期刊: IEEE Journal of Solid-State Circuits
• 影响因子: 5.4
• 作者: Lin, Chung;Puglisi, Chase;Boljanovic, Veljko;Yan, Han;Ghaderi, Erfan;Gaddis, Jayce;Xu, Qiuyan;Poolakkal, Sreeni;Cabric, Danijela;Gupta, Subhanshu
• 通讯作者: Gupta, Subhanshu

Four-Element Wide Modulated Bandwidth MIMO Receiver With >35-dB Interference Cancellation

具有 >35dB 干扰消除功能的四元件宽调制带宽 MIMO 接收器

• DOI: 10.1109/tmtt.2020.2986441
• 发表时间: 2020-04
• 期刊: IEEE Transactions on Microwave Theory and Techniques
• 影响因子: 4.3
• 作者: Ghaderi, Erfan;Ramani, Ajith Sivadhasan;Rahimi, Arya A.;Heo, Deukhyoun;Shekhar, Sudip;Gupta, Subhanshu
• 通讯作者: Gupta, Subhanshu

Low-Power Process and Temperature-Invariant Constant Slope-and-Swing Ramp-Based Phase Interpolator

低功耗处理和温度不变的基于恒定斜率和摆幅斜坡的相位插值器

• DOI: 10.1109/jssc.2023.3242935
• 发表时间: 2023-09
• 期刊: IEEE Journal of Solid-State Circuits
• 影响因子: 5.4
• 作者: Mohapatra, Soumen;Lin, Chung;Gupta, Subhanshu;Heo, Deukhyoun
• 通讯作者: Heo, Deukhyoun

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

• 发表时间: 2021-09
• 期刊: Proceedings of the European Solid State Device Research Conference
• 作者: Chung