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和Be-Beyond Technologies将实现具有超低延迟和极高数据速率要求（例如移动AR/VR应用程序）的空前的应用程序扩散。现在已经超过86亿的无线设备数量也存在着越来越多的趋势，预计到2022年将增长到123亿。具有较高数据速率要求的无线设备的密度不断提高，导致Sub-6GHz频段的光谱紧缩。 30GHz至300GHz之间的毫米波（MMWAVE）频率可以减轻频谱稀缺性，并为带有GBPS数据速率的未来细胞和新兴WiFi网络提供主要潜力。当前的研究主要集中在理解高频下的无线通道障碍和传播特征上。尽管这样的努力是必不可少的，但开发针对MMWave量身定制的网络协议存在差距。该项目采用系统级方法来开发和实施可靠的MMWave网络的算法，并保证端到端性能。它还通过在未来的无线网络中引入新趋势和挑战，从不同级别的代表性不足的人群中培训学生的新趋势和挑战，从而为课程增强提供了巨大的机会，并通过吸引人的MMWave应用程序吸引了包括高中生的年轻人，包括高中生。 MMWave和Sub-6GHz之间的显着差异要求在协议堆栈的所有层中对设计原理进行根本性的重新思考。当前，协议堆栈的上层在很大程度上尚未探索，并且现有协议并未针对MMWave通信量身定制。该项目开发协议并实施用于低空和弹性的多跳MMWAVE通信的测试床，并具有移动性和链接阻塞。 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）易于故障的多跳路由以对抗阻塞：为了确保在阻塞下可靠且稳健的MMWave通信，该推力将诉诸于网络和路由层解决方案，以开发按需路由协议，该协议能够在链接阻滞下快速恢复； （3）多跳网络中的最佳缓冲区分配：此推力将研究带有多用户的多跳MMWAVE网络中最佳缓冲区分配的问题。目的是在延迟和吞吐量绩效之间取得最佳的权衡，并在不同的数据流中提供公平的分配。该奖项反映了NSF的法定任务，并认为使用基金会的知识分子优点和更广泛的审查标准，认为值得通过评估来获得支持。

项目成果

Spectrum-Aware Mobile Edge Computing for UAVs Using Reinforcement Learning

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

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

• DOI: 10.1109/vtc2021-spring51267.2021.9448838
• 发表时间: 2021-01-01
• 期刊: 2021 IEEE 93RD VEHICULAR TECHNOLOGY CONFERENCE (VTC2021-SPRING)
• 作者: Samarathunga, Chanaka;Abouelseoud, Mohamed;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: 10.1109/isit50566.2022.9834463
• 发表时间: 2022
• 期刊: 2022 IEEE International Symposium on Information Theory (ISIT
• 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: and Computers
• 作者: Sun, Chuan;Hashemi, Morteza
• 通讯作者: Hashemi, Morteza

On the Benefits of Multi-Hop Communication for Indoor 60 GHz Wireless Networks

• DOI: 10.1109/ccnc49032.2021.9369504
• 发表时间: 2020-09
• 期刊: 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC)
• 作者: Chanaka Samarathunga;M. Abouelseoud;K. Sakoda;M. Hashemi