Collaborative Research: CNS Core: Medium: Combating Latency and Disconnectivity in mmWave Networks: From Theory to Implementation

合作研究：CNS 核心：中：对抗毫米波网络中的延迟和断开连接：从理论到实施

• 批准号: 1955561
• 负责人: Morteza Hashemi
• 金额: $ 43.8万
• 依托单位: University of Kansas Center for Research Inc
• 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=1955561&HistoricalAwards=false
• 关键词: Collaborative; Research; CNS; Core; Medium

The ever-increasing number of wireless devices that are projected to exceed 12.3 billion by 2022, is catalyzing a coming spectrum crisis in the sub-6 GHz bands. These devices are fueled by applications with ultra-low latency and extremely-high data rate requirements. Thus, spectrum-rich millimeter-wave (mmWave) frequencies, between 30-300 GHz, are being considered critical components of future mobile cellular systems and emerging WiFi networks with Gbps data rates. While it is true that the mmWave band has the potential to provide very high rates, its unreliability could lead to very poor end-user performance. Therefore, this project aims to develop low-latency mmWave communication protocols that substantially improve end-user performance. The developed techniques will be evaluated and refined using proof-of-concept implementation and testing. Tied with a wide range of novel applications – ranging from mobile AR/VR streaming to autonomous vehicles – this project has a broad appeal to young minds, including women and underrepresented minorities. Through an annual workshop and a summer camp program, this project will also increase participation in computing among female university and high school students. The true value of 5G-and-beyond wireless networks relies heavily on mmWave connectivity and availability. Thus, their full potential cannot be realized until stringent requirements on latency are satisfied even under stressed conditions. In mmWave-based systems, the delay is primarily dominated by availability (or lack thereof) and not by data rate, where lack of availability manifests itself due to blockage, highly directional communication, inefficient resource allocation, and scheduling policies, and the need for additional beam alignment/refinement steps. This project is aimed at developing the theoretical foundations and algorithmic development for low-latency mmWave networking design from the physical layer and MAC layer to the network layer and data prediction at the application layer. The project will leverage diverse tools across information theory, communication systems, wireless networking, protocol design, stochastic control, optimization, and software development. To achieve these goals, this project is organized in three inter-related thrusts: (i) agile connection setup, (ii) multi-user management and predictive data delivery, and (iii) proof-of-concept implementation and testing.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.

无线设备数量不断增加，预计到 2022 年将超过 123 亿，这正在加剧 6 GHz 以下频段即将到来的频谱危机。这些设备受到具有超低延迟和极高数据速率要求的应用的推动。因此，30-300 GHz 之间频谱丰富的毫米波 (mmWave) 频率被认为是未来移动蜂窝系统和具有 Gbps 数据速率的新兴 WiFi 网络的关键组成部分。毫米波频段确实有潜力提供非常高的速率，但其不可靠性可能会导致最终用户性能非常差，因此，该项目旨在开发低延迟毫米波通信协议，以大幅提高最终用户的性能。该项目将通过概念验证实施和测试来评估和完善技术，该项目与从移动 AR/VR 流媒体到自动驾驶汽车等各种新颖应用相结合，对年轻人（包括女性和代表性不足的人）具有广泛的吸引力。少数民族。通过年度研讨会和夏令营计划，该项目还将增加女性大学生和高中生对计算的参与。 5G 及其他无线网络的真正价值在很大程度上依赖于毫米波连接和可用性，因此，它们的全部潜力无法发挥。即使在基于毫米波的系统中，延迟也主要由可用性（或缺乏可用性）决定，而不是由数据速率决定，而数据速率的缺乏则表现为阻塞、高度定向通信。 、资源配置效率低下，以及该项目旨在为从物理层和 MAC 层到网络层的低延迟毫米波网络设计以及应用程序的数据预测奠定理论基础和算法开发。该项目将利用信息论、通信系统、无线网络、协议设计、随机控制、优化和软件开发等领域的多种工具，以三个相互关联的主旨进行组织：(i) 敏捷。连接设置，(ii)多用户管理和预测数据交付，以及 (iii) 概念验证实施和测试。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优点和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Channel Estimation via Successive Denoising in MIMO OFDM Systems: A Reinforcement Learning Approach

通过 MIMO OFDM 系统中的连续去噪进行信道估计：一种强化学习方法

• 发表时间: 2021-06
• 期刊: IEEE International Conference on Communications
• 作者: Oh, Myeung Suk;Hosseinalipour, Seyyedali;Kim, Taejoon Kim;Brinton, Christopher G.;Love, David
• 通讯作者: Love, David

Cost-Optimal Deployment of Millimeter-Wave Base Stations Under Outage Requirement

停电需求下毫米波基站的成本优化部署

• DOI: 10.1109/twc.2022.3185094
• 发表时间: 2024-09-13
• 期刊: IEEE Transactions on Wireless Communications
• 影响因子: 10.4
• 作者: Miaomiao Dong;Minsung Cho;Kangeun Lee;Sungrok Yoon;Taejoon Kim
• 通讯作者: Taejoon Kim

Millimeter-Wave Base Station Deployment Using the Scenario Sampling Approach

使用场景采样方法进行毫米波基站部署

• DOI: 10.1109/tvt.2020.3026216
• 发表时间: 2020-11
• 期刊: IEEE Transactions on Vehicular Technology
• 影响因子: 6.8
• 作者: Dong, Miaomiao;Kim, Taejoon;Wu, Jingjin;Wong, Eric Wing
• 通讯作者: Wong, Eric Wing

Machine Learning With Gaussian Process Regression For Time-Varying Channel Estimation

使用高斯过程回归进行时变信道估计的机器学习

• DOI: 10.1109/icc45855.2022.9838448
• 发表时间: 2022-05-16
• 期刊: ICC 2022 - IEEE International Conference on Communications
• 作者: Richard Simeon;Taejoon Kim;E. Perrins
• 通讯作者: E. Perrins

On The Stability of Approximate Message Passing with Independent Measurement Ensembles

独立测量系近似消息传递的稳定性研究

• DOI: 10.1109/isit54713.2023.10206981
• 发表时间: 2023-06
• 期刊: IEEE International Symposium on Information Theory
• 作者: Nguyen, Dang Qua;Kim, Taejoon
• 通讯作者: Kim, Taejoon