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:1955535
- 负责人:
- 金额:$ 76.12万
- 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,这正在催化6 GHz以下频段的频谱危机。这些器件由具有超低延迟和极高数据速率要求的应用驱动。因此,在30-300 GHz之间的频谱丰富的毫米波(mmWave)频率被认为是未来移动的蜂窝系统和具有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潜力提供非常高的速率,但其不可靠性可能导致非常差的最终用户性能。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。开发的技术将使用概念验证实施和测试进行评估和完善。该项目与广泛的新颖应用相结合-从移动的AR/VR流媒体到自动驾驶汽车-该项目对年轻人具有广泛的吸引力,包括女性和代表性不足的少数民族。该项目还将通过举办年度讲习班和夏令营方案,增加大学和高中女生对计算机的参与。5G及以上无线网络的真正价值在很大程度上取决于毫米波连接和可用性。因此,即使在压力条件下,也不能实现其全部潜力,直到满足对延迟的严格要求。在基于毫米波的系统中,延迟主要由可用性(或其缺乏)而不是由数据速率主导,其中由于阻塞、高度定向的通信、低效的资源分配和调度策略以及对附加波束对准/细化步骤的需要,可用性的缺乏表现出自身。该项目旨在为低延迟毫米波网络设计开发从物理层和MAC层到网络层的理论基础和算法开发以及应用层的数据预测。该项目将利用信息理论,通信系统,无线网络,协议设计,随机控制,优化和软件开发的各种工具。为了实现这些目标,该项目分为三个相互关联的重点:(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价值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(15)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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
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
Software-Defined MIMO OFDM Joint Radar-Communication Platform with Fully Digital mmWave Architecture
具有全数字毫米波架构的软件定义 MIMO OFDM 联合雷达通信平台
- DOI:
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:C.D. Ozkaptan, H. Zhu
- 通讯作者:C.D. Ozkaptan, H. Zhu
Age-Optimal Scheduling Over Hybrid Channels
- DOI:10.1109/tmc.2022.3205292
- 发表时间:2020-12
- 期刊:
- 影响因子:7.9
- 作者:Jiayu Pan;A. Bedewy;Yin Sun;N. Shroff
- 通讯作者:Jiayu Pan;A. Bedewy;Yin Sun;N. Shroff
Parallel Scale-wise Attention Network for Effective Scene Text Recognition
- DOI:10.1109/ijcnn52387.2021.9534223
- 发表时间:2021-04
- 期刊:
- 影响因子:0
- 作者:Usman Sajid;Michael Chow;Jin Zhang;Taejoon Kim;Guanghui Wang
- 通讯作者:Usman Sajid;Michael Chow;Jin Zhang;Taejoon Kim;Guanghui Wang
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Ness Shroff其他文献
Performance analysis of virtual circuit connections for bursty data sources in ATM networks
- DOI:
10.1007/bf02024995 - 发表时间:
1992-08-01 - 期刊:
- 影响因子:4.500
- 作者:
Ness Shroff;Magda El Zarki - 通讯作者:
Magda El Zarki
Ness Shroff的其他文献
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{{ truncateString('Ness Shroff', 18)}}的其他基金
Collaborative Research: NeTS: Medium: Black-box Optimization of White-box Networks: Online Learning for Autonomous Resource Management in NextG Wireless Networks
合作研究:NeTS:中:白盒网络的黑盒优化:下一代无线网络中自主资源管理的在线学习
- 批准号:
2312836 - 财政年份:2023
- 资助金额:
$ 76.12万 - 项目类别:
Standard Grant
AI Institute for Future Edge Networks and Distributed Intelligence (AI-EDGE)
未来边缘网络和分布式智能人工智能研究所 (AI-EDGE)
- 批准号:
2112471 - 财政年份:2021
- 资助金额:
$ 76.12万 - 项目类别:
Cooperative Agreement
Collaborative Research: CNS Core: Medium: Analytics and Online Optimization at Scale for Cellular Networks
合作研究:CNS 核心:中:蜂窝网络大规模分析和在线优化
- 批准号:
2106933 - 财政年份:2021
- 资助金额:
$ 76.12万 - 项目类别:
Standard Grant
Collaborative Research: CNS Core: Medium: Information Freshness in Scalable and Energy Constrained Machine to Machine Wireless Networks
合作研究:CNS 核心:中:可扩展且能量受限的机器对机器无线网络中的信息新鲜度
- 批准号:
2106932 - 财政年份:2021
- 资助金额:
$ 76.12万 - 项目类别:
Continuing Grant
RAPID: Acoustic Communications and Sensing for COVID-19 Data Collection
RAPID:用于 COVID-19 数据收集的声学通信和传感
- 批准号:
2028547 - 财政年份:2020
- 资助金额:
$ 76.12万 - 项目类别:
Standard Grant
CNS Core: Small: New Caching Paradigms for Distributed and Dynamic Networks
CNS 核心:小型:分布式和动态网络的新缓存范例
- 批准号:
2007231 - 财政年份:2020
- 资助金额:
$ 76.12万 - 项目类别:
Standard Grant
CNS Core: Medium: Collaborative: Exploring and Exploiting Learning for Efficient Network Control: Non-Stationarity, Inter-Dependence, and Domain-Knowledge
CNS 核心:中:协作:探索和利用学习实现高效网络控制:非平稳性、相互依赖和领域知识
- 批准号:
1901057 - 财政年份:2019
- 资助金额:
$ 76.12万 - 项目类别:
Standard Grant
ICN-WEN: Collaborative Research: SPLICE: Secure Predictive Low-Latency Information Centric Edge for Next Generation Wireless Networks
ICN-WEN:协作研究:SPLICE:下一代无线网络的安全预测低延迟信息中心边缘
- 批准号:
1719371 - 财政年份:2017
- 资助金额:
$ 76.12万 - 项目类别:
Continuing Grant
CSR: NeTS: Small: Theoretical Foundations for Cache Networks: Performance Models, Algorithms, and Applications
CSR:NeTS:小型:缓存网络的理论基础:性能模型、算法和应用
- 批准号:
1717060 - 财政年份:2017
- 资助金额:
$ 76.12万 - 项目类别:
Standard Grant
NeTS: Large: Collaborative Research: Practical Foundations for Networking with Many-Antenna Base Stations
NetS:大型:协作研究:多天线基站联网的实用基础
- 批准号:
1518829 - 财政年份:2015
- 资助金额:
$ 76.12万 - 项目类别:
Continuing Grant
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