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
• 负责人: Morteza Hashemi
• 金额: $ 17.42万
• 依托单位: University of Kansas Center for Research Inc
• 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: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1948511&HistoricalAwards=false
• 关键词: CRII; NeTS; Beyond; PHY; Chanel

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 及更高技术将使具有超低延迟和极高数据速率要求的应用程序（例如移动 AR/VR 应用程序）空前激增。无线设备的数量也呈不断增长的趋势，目前已超过 86 亿台，预计到 2022 年将增长到 123 亿台。具有高数据速率要求的无线设备密度不断增加，导致了子系统的频谱紧缩。 -6GHz 频段。 30GHz 至 300GHz 之间的毫米波 (mmWave) 频率可以缓解频谱稀缺问题，并为未来具有 Gbps 数据速率的蜂窝网络和新兴 WiFi 网络提供巨大潜力。目前的研究主要集中在了解无线信道损伤和高频传播特性。虽然这些努力至关重要，但在开发专为毫米波定制的网络协议方面还存在差距。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、培训来自不同级别的弱势人群的学生以及通过有吸引力的毫米波演示吸引包括高中生在内的年轻人进入 STEM 领域，为课程改进提供了绝佳的机会应用程序。 毫米波和低于 6GHz 之间的显着差异要求对协议栈所有层的设计原则进行彻底的重新思考。目前，协议栈的上层在很大程度上仍未被探索，现有协议也不是针对毫米波通信而定制的。该项目开发协议并实现一个测试平台，用于低开销、弹性多跳毫米波通信（具有移动性和链路阻塞）。拟议的研究将围绕三个相互关联的主旨进行：（1）多跳设置的低开销波束对准：利用多臂老虎机（MAB）框架，该主旨将开发一种有效的波束对准算法，可大大减少角度波束搜索空间和整体波束对准开销，这对于具有多跳拓扑的密集毫米波网络至关重要； (2) 容错多跳路由对抗阻塞：为了保证在阻塞情况下可靠、鲁棒的毫米波通信，本课题将借助网络和路由层解决方案来开发能够快速恢复的按需路由协议链接受阻； (3) 多跳网络中的最优缓冲区分配：本主旨将研究多用户多跳毫米波网络中的最优缓冲区分配问题。目标是在延迟和吞吐量性能之间实现最佳权衡，并在不同数据流之间提供公平分配。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

Spectrum-Aware Mobile Edge Computing for UAVs Using Reinforcement Learning

使用强化学习的无人机频谱感知移动边缘计算

• DOI: 10.1145/3453142.3491414
• 发表时间: 2021-12-01
• 期刊: 2021 IEEE/ACM Symposium on Edge Computing (SEC)
• 作者: Babak Badnava;Taejoon Kim;Kenny Cheung;Zaheer Ali;M. Hashemi
• 通讯作者: M. Hashemi

Multi-hop Routing with Proactive Route Refinement for 60 GHz Millimeter-Wave Networks

适用于 60 GHz 毫米波网络的具有主动路由细化功能的多跳路由

• DOI: 10.1109/vtc2021-spring51267.2021.9448838
• 发表时间: 2021-04
• 期刊: Proceedings of IEEE Vehicular Technology Conference (VTC
• 作者: Samarathunga, Chanaka;Abouelseoud, Mohamed;Sakoda, Kazuyuki;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: 2021-10
• 期刊: and Computers
• 作者: Sun, Chuan;Hashemi, Morteza
• 通讯作者: Hashemi, Morteza

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: 10.48550/arxiv.2207.00532
• 发表时间: 2022-06-26
• 期刊: 2022 IEEE International Symposium on Information Theory (ISIT)
• 作者: Babak Badnava;Sravan Reddy Chintareddy;M. Hashemi
• 通讯作者: M. Hashemi

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: 2021-10
• 期刊: mmNets '21: Proceedings of the 5th ACM Workshop on Millimeter-Wave and Terahertz Networks and Sensing Systems
• 作者: Chintareddy, Sravan Reddy;Mezzavilla, Marco;Rangan, Sundeep;Hashemi, Morteza
• 通讯作者: Hashemi, Morteza