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
基本信息
- 批准号:1955561
- 负责人:
- 金额:$ 43.8万
- 依托单位:
- 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:
- 关键词:
项目摘要
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.
预计到2022年,无线设备的数量将超过123亿,这一不断增加的数量正在催化6 GHz以下频段即将到来的频谱危机。这些设备由具有超低延迟和极高数据速率要求的应用程序提供支持。因此,频谱丰富的毫米波(毫米波)频率在30-300 GHz之间,被认为是未来移动蜂窝系统和具有Gbps数据速率的新兴WiFi网络的关键组件。虽然毫米波频段确实有可能提供非常高的速率,但它的不可靠性可能会导致终端用户性能非常差。因此,该项目旨在开发低延迟的毫米波通信协议,以显著提高终端用户的性能。将使用概念验证实施和测试对所开发的技术进行评估和改进。与广泛的新颖应用相结合-从移动AR/VR流媒体到自动驾驶汽车-这个项目对年轻人有广泛的吸引力,包括女性和代表不足的少数族裔。通过年度讲习班和夏令营计划,该项目还将增加女大学生和高中生对计算机的参与。5G及以上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,即使在紧张的条件下,也必须满足对延迟的严格要求,才能充分发挥它们的潜力。在基于毫米波的系统中,延迟主要由可用性(或缺乏可用性)主导,而不是数据速率,在数据速率中,由于阻塞、高度定向通信、低效的资源分配和调度策略以及需要额外的波束对准/细化步骤而表现为缺乏可用性。本项目旨在为低延迟毫米波组网设计从物理层、MAC层到网络层以及应用层的数据预测奠定理论基础和算法开发。该项目将利用各种工具,横跨信息理论、通信系统、无线网络、协议设计、随机控制、优化和软件开发。为了实现这些目标,这个项目被组织成三个相互关联的推力:(I)灵活的连接设置,(Ii)多用户管理和预测性数据交付,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势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
期刊论文数量(21)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Optimality Conditions of Performance-Guaranteed Power Minimization in MIMO Networks: A Distributed Algorithm and Its Feasibility
- DOI:10.1109/tsp.2020.3035877
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Guojun Xiong;Taejoon Kim;D. Love;E. Perrins
- 通讯作者:Guojun Xiong;Taejoon Kim;D. Love;E. Perrins
Learning-Based Adaptive IRS Control with Limited Feedback Codebooks
- DOI:10.1109/twc.2022.3178055
- 发表时间:2021-12
- 期刊:
- 影响因子:10.4
- 作者:Junghoon Kim;Seyyedali Hosseinalipour;Andrew C. Marcum;Taejoon Kim;D. Love;Christopher G. Brinton
- 通讯作者:Junghoon Kim;Seyyedali Hosseinalipour;Andrew C. Marcum;Taejoon Kim;D. Love;Christopher G. Brinton
Cost-Optimal Deployment of Millimeter-Wave Base Stations Under Outage Requirement
- DOI:10.1109/twc.2022.3185094
- 发表时间:2022
- 期刊:
- 影响因子:10.4
- 作者:Miaomiao Dong;Minsung Cho;Kangeun Lee;Sungrok Yoon;Taejoon Kim
- 通讯作者:Miaomiao Dong;Minsung Cho;Kangeun Lee;Sungrok Yoon;Taejoon Kim
Multi-IRS-assisted Multi-Cell Uplink MIMO Communications under Imperfect CSI: A Deep Reinforcement Learning Approach
- DOI:10.1109/iccworkshops50388.2021.9473585
- 发表时间:2021-06
- 期刊:
- 影响因子:0
- 作者:Junghoon Kim;Seyyedali Hosseinalipour;Taejoon Kim;D. Love;Christopher G. Brinton
- 通讯作者:Junghoon Kim;Seyyedali Hosseinalipour;Taejoon Kim;D. Love;Christopher G. Brinton
Millimeter-Wave Base Station Deployment Using the Scenario Sampling Approach
- DOI:10.1109/tvt.2020.3026216
- 发表时间:2020-09
- 期刊:
- 影响因子:6.8
- 作者:Miaomiao Dong;Taejoon Kim;Jingjin Wu;E. Wong
- 通讯作者:Miaomiao Dong;Taejoon Kim;Jingjin Wu;E. Wong
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Morteza Hashemi其他文献
Investigating the geological and geomechanical characteristics governing the weathering behavior of Meymand tuff
- DOI:
10.1007/s12665-022-10169-3 - 发表时间:
2022-01-15 - 期刊:
- 影响因子:2.800
- 作者:
Mojtaba Kiani;Morteza Hashemi;Rasoul Ajalloeian;David Benavente - 通讯作者:
David Benavente
Efficient Cluster Selection for Personalized Federated Learning: A Multi-Armed Bandit Approach
个性化联邦学习的高效集群选择:多臂老虎机方法
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Zhou Ni;Morteza Hashemi - 通讯作者:
Morteza Hashemi
Solvent-free preparation of copper ferrite microspheres composed of nanorods using a new coordination compound as precursor
以新型配位化合物为前驱体无溶剂制备纳米棒铁氧体铜微球
- DOI:
- 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Morteza Hashemi;F. Mohandes;Shahla Ahmadian;Azam Sobhani;Nayereh Shabani;M. Salavati‐Niasari - 通讯作者:
M. Salavati‐Niasari
Determination of Psychometric Properties of Non-Verbal Pain Scale in Patients Receiving Mechanical Ventilation
接受机械通气患者非语言疼痛量表心理测量特性的测定
- DOI:
10.29252/hnmj.28.3.171 - 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
M. Heidarzadeh;Hoda Chookalayi;Sajjad Jabrailzadeh;Morteza Hashemi;M. Kiani;Farzad Kohi - 通讯作者:
Farzad Kohi
Effects of chemical composition on the solubility and geomechanical characteristics of gypsum rocks from Gachsaran Formation, Iran
- DOI:
10.1007/s10064-020-01794-y - 发表时间:
2020-04-19 - 期刊:
- 影响因子:4.200
- 作者:
Morteza Hashemi;Ali Saki;Mohammad Reza Nikudel - 通讯作者:
Mohammad Reza Nikudel
Morteza Hashemi的其他文献
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{{ truncateString('Morteza Hashemi', 18)}}的其他基金
Conference: NSF Student Travel Grant for 2023 ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc)
会议:NSF 学生旅费资助 2023 年 ACM 国际移动自组织网络和计算研讨会 (MobiHoc)
- 批准号:
2324567 - 财政年份:2023
- 资助金额:
$ 43.8万 - 项目类别:
Standard Grant
IMR: MT: AirScope: A Versatile and Programmable UAV Platform for End-to-End Cellular Network Measurements in Rural Environments
IMR:MT:AirScope:用于农村环境中端到端蜂窝网络测量的多功能可编程无人机平台
- 批准号:
2323189 - 财政年份:2023
- 资助金额:
$ 43.8万 - 项目类别:
Continuing Grant
CRII: NeTS: Beyond PHY and Chanel Measurements in Millimeter Wave: Towards Low-Overhead and Resilient Multi-hop Networking
CRII:NetS:超越毫米波中的 PHY 和 Channel 测量:迈向低开销和弹性多跳网络
- 批准号:
1948511 - 财政年份:2020
- 资助金额:
$ 43.8万 - 项目类别:
Standard Grant
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- 项目类别:面上项目
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