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
基本信息
- 批准号:1948511
- 负责人:
- 金额:$ 17.42万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-03-01 至 2023-02-28
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The 5G-and-beyond technologies will enable an unprecedented proliferation of applications with ultra-low latency and extremely-high data rate requirements such as mobile AR/VR applications. There is also an ever-increasing trend in the number of wireless devices that is now already over 8.6 billion and is expected to grow to 12.3 billion by 2022. The increasing density of wireless devices with high data rate requirements has caused spectrum crunch in the sub-6GHz bands. Millimeter-wave (mmWave) frequencies between 30GHz to 300GHz can alleviate the spectrum scarcity and provide major potentials for future cellular and emerging WiFi networks with Gbps data rates. Current studies have mostly focused on understanding wireless channel impairments and propagation characteristics at high frequencies. While such efforts are essential, there are gaps in developing network protocols tailored for mmWave. This project takes a system-level approach to develop and implement algorithms for reliable mmWave networking with guaranteed end-to-end performance. It also provides great opportunities for curriculum enhancement by introducing new trends and challenges in future wireless networks, training students from under-represented populations at different levels, and attracting young minds, including high-school students, to the STEM areas via appealing demos of mmWave applications. The significant differences between mmWave and sub-6GHz call for a radical rethinking of the design principles across all the layers of the protocol stack. Currently, the upper layers of the protocol stack remain largely unexplored and the existing protocols are not tailored for mmWave communication. This project develops protocols and implements a testbed for low-overhead and resilient multi-hop mmWave communication with mobility and link blockage. The proposed research will be conducted across three inter-related thrusts: (1) Low-overhead Beam Alignment for Multi-hop Settings: Leveraging multi-armed bandit (MAB) frameworks, this thrust will develop an efficient beam alignment algorithm that considerably reduces the angular beam search space and overall beam alignment overhead, which is essential for dense mmWave networks with multi-hop topologies; (2) Fault-Tolerant Multi-hop Routing to Combat Blockage: In order to guarantee reliable and robust mmWave communication under blockage, this thrust will resort to network and routing layer solutions to develop an on-demand routing protocol that is able to quickly recover under a link blockage; (3) Optimal Buffer Allocation in Multi-hop Networks: This thrust will investigate the problem of optimal buffer allocation in multi-hop mmWave networks with multi-users. The goal is to strike an optimal tradeoff between delay and throughput performance and provide a fair allocation across different data flows.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.
5G及以后的技术将使具有超低延迟和极高数据速率要求的应用程序(如移动的AR/VR应用程序)前所未有地激增。无线设备的数量也在不断增长,现在已经超过86亿,预计到2022年将增长到123亿。具有高数据速率要求的无线设备密度的增加已经导致了6 GHz以下频带中的频谱紧缩。30 GHz到300 GHz之间的毫米波(mmWave)频率可以缓解频谱短缺,并为未来的蜂窝和新兴的WiFi网络提供Gbps数据速率的主要潜力。目前的研究主要集中在了解无线信道损伤和传播特性在高频。虽然这些努力是必不可少的,但在开发针对毫米波的网络协议方面存在差距。该项目采用系统级方法来开发和实现可靠的毫米波网络算法,并保证端到端性能。它还通过引入未来无线网络的新趋势和挑战,培训来自不同层次的代表性不足人群的学生,以及通过吸引人的毫米波应用演示吸引年轻人(包括高中生)到STEM领域,为课程改进提供了很好的机会。 毫米波和低于6 GHz之间的显著差异需要彻底重新思考协议栈所有层的设计原则。目前,协议栈的上层仍然在很大程度上未被探索,并且现有协议不是针对毫米波通信定制的。该项目开发协议,并实现了一个低开销和弹性多跳毫米波通信与移动性和链路阻塞的测试平台。(1)多跳设置的低开销波束对准:利用多臂强盗(MAB)框架,该推力将开发一种有效的波束对准算法,该算法大大减少了角度波束搜索空间和总体波束对准开销,这对于具有多跳拓扑的密集毫米波网络是必不可少的;(2)对抗阻塞的容错多跳路由:为了保证在阻塞情况下的可靠和鲁棒的毫米波通信,该推力将诉诸网络和路由层解决方案,以开发能够在链路阻塞情况下快速恢复的按需路由协议;(3)多跳网络中的最优缓冲区分配:本文将研究多用户多跳毫米波网络中的最优缓冲区分配问题。该奖项反映了NSF的法定使命,并通过使用基金会的知识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(7)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Spectrum-Aware Mobile Edge Computing for UAVs Using Reinforcement Learning
- DOI:10.1145/3453142.3491414
- 发表时间:2021-12
- 期刊:
- 影响因子:0
- 作者:Babak Badnava;Taejoon Kim;Kenny Cheung;Zaheer Ali;M. Hashemi
- 通讯作者:Babak Badnava;Taejoon Kim;Kenny Cheung;Zaheer Ali;M. Hashemi
QoE-Centric Multi-User mmWave Scheduling: A Beam Alignment and Buffer Predictive Approach
以 QoE 为中心的多用户毫米波调度:波束对准和缓冲区预测方法
- DOI:10.1109/isit50566.2022.9834463
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Badnava, Babak;Reddy Chintareddy, Sravan;Hashemi, Morteza
- 通讯作者:Hashemi, Morteza
Efficient User Localization in Wireless Networks Using Active Deep Learning
使用主动深度学习在无线网络中进行高效用户定位
- DOI:10.1109/ieeeconf53345.2021.9723414
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Sun, Chuan;Hashemi, Morteza
- 通讯作者:Hashemi, Morteza
A preliminary assessment of midhaul links at 140 GHz using ray-tracing
使用光线追踪对 140 GHz 中传链路进行初步评估
- DOI:10.1145/3477081.3481674
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Chintareddy, Sravan Reddy;Mezzavilla, Marco;Rangan, Sundeep;Hashemi, Morteza
- 通讯作者:Hashemi, Morteza
Delay-Efficient and Reliable Data Relaying in Ultra Dense Networks using Rateless Codes
使用无速率代码在超密集网络中实现延迟高效且可靠的数据中继
- DOI:10.1109/globecom42002.2020.9322346
- 发表时间:2020
- 期刊:
- 影响因子:0
- 作者:Shang, Luyao;Hashemi, Morteza;Kim, Taejoon;Perrins, Erik
- 通讯作者:Perrins, Erik
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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:
$ 17.42万 - 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:
$ 17.42万 - 项目类别:
Continuing Grant
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 - 财政年份:2020
- 资助金额:
$ 17.42万 - 项目类别:
Continuing Grant
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相似海外基金
NeTS: Small: Exploring the Non-Standardized Polices, Operations, and Requirements for 5G Cellular Networks and Beyond: Advancing the Modeling, Tools, and Evaluation
NeTS:小型:探索 5G 蜂窝网络及其他网络的非标准化策略、运营和要求:推进建模、工具和评估
- 批准号:
2321416 - 财政年份:2023
- 资助金额:
$ 17.42万 - 项目类别:
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Collaborative Research: NeTS: JUNO3: Leveraging Heterogeneous Programmable Data Planes for Security and Privacy of Cellular Networks, 5G & Beyond
合作研究:NetS:JUNO3:利用异构可编程数据平面实现蜂窝网络、5G 的安全和隐私
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2210380 - 财政年份:2022
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$ 17.42万 - 项目类别:
Standard Grant
Collaborative Research: NeTS: JUNO3: Leveraging Heterogeneous Programmable Data Planes for Security and Privacy of Cellular Networks, 5G & Beyond
合作研究:NetS:JUNO3:利用异构可编程数据平面实现蜂窝网络、5G 的安全和隐私
- 批准号:
2210379 - 财政年份:2022
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Standard Grant
RI: Small: The TAO algorithm: principled, efficient optimization of decision trees, forests, tree-based neural nets, and beyond
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- 批准号:
2007147 - 财政年份:2020
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