EAGER: Predictive Micro Mobility Management in mmWave Cellular Networks

EAGER：毫米波蜂窝网络中的预测性微移动管理

• 批准号: 1837034
• 负责人: Tao Shu
• 金额: $ 29.8万
• 依托单位: Auburn University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-10-01 至 2022-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1837034&HistoricalAwards=false
• 关键词: EAGER; Predictive; Micro; Mobility; Management

Due to its huge capacity benefits, mmWave communication has been envisioned as a promising high-capacity low-latency solution for 5G systems and beyond, for both indoor (static) and outdoor (mobile) applications. Lagging behind this vision, however, existing research on mmWave communication is mainly focused on static users, while the case of mobile users that move in small scale at pedestrian speed, a.k.a. micro mobility - a typical scenario envisioned for outdoor mmWave applications, has been largely ignored. The challenge of micro mobility stems from the fact that mmWave communication heavily relies on line of sight (LOS) communications, which could be frequently blocked by obstacles during the course of user movement, leading to loss of the received signal and causing link outage. The resulting intermittent connection significantly undermines the performance of higher layers. This project will address the fundamental challenge of micro mobility in outdoor mmWave networks by systematically exploring a suite of prediction-based, cross-layer, seamless, and efficient micro mobility management solutions for realistic multi-obstacle mobile mmWave environments. The research outcome will contribute to the successful development of the nation?s next-generation high-speed cellular communication infrastructure, and hence will create a stronger driving force and carrier for the nation?s economy. This project will also carry out a comprehensive education plan to broaden its impact, with a special emphasis on underrepresented and minority groups.In contrast to the conventional proactive and reactive mobility management methods, the novelty of this project lies in the development of a new class of predictive link/network-layer designs that enables reaction to an outage before it happens, overcoming the low-efficiency and long-delay weaknesses of existing methods. In particular, an outage prediction mechanism will be proposed to accurately predict when the mmWave LOS will be blocked and how long the blockage will last in realistic multi-obstacle outdoor environment. Taking advantage of the predicted blockage information, the project will propose a multi-scale just-in-time (JIT) predictive outage handling framework. For outage of short durations, cross-layer predictive link/network-layer designs will be proposed to hide outages from upper layers. For outages of long durations, a JIT optimal-stopping sequential handover mechanism will be developed to maximize the handover efficiency and quality of service (QoS) while accounting for the handover overhead and deadline. A mmWave test-bed will also be developed at Auburn University to evaluate all proposed solutions.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.

由于其巨大的容量优势，毫米波通信已被设想为一种有前途的高容量低延迟解决方案，适用于5G系统及以后的室内（静态）和室外（移动）应用。然而，落后于这一愿景的是，现有的毫米波通信研究主要集中在静态用户上，而以行人速度进行小规模移动的移动用户的情况，即微移动性，这是户外毫米波应用的典型场景，在很大程度上被忽视了。微移动性的挑战源于毫米波通信严重依赖视距（LOS）通信的事实，在用户移动过程中，视距通信可能经常被障碍物阻挡，导致接收信号丢失并导致链路中断。由此产生的间歇性连接严重破坏了更高层的性能。该项目将通过系统地探索一套基于预测的、跨层的、无缝的、高效的微移动性管理解决方案，为现实的多障碍移动毫米波环境解决室外毫米波网络中微移动性的基本挑战。研究成果将有助于国家的成功发展。美国的下一代高速蜂窝通信基础设施，将成为国家更强大的动力和载体。年代的经济。该项目还将执行一项全面的教育计划，以扩大其影响，特别强调人数不足和少数群体。与传统的主动和被动移动管理方法相比，该项目的新颖之处在于开发了一种新型的预测链路/网络层设计，能够在中断发生之前做出反应，克服了现有方法的低效率和长延迟的弱点。特别是，将提出一种中断预测机制，以准确预测在现实的多障碍物室外环境中毫米波LOS何时会被阻塞以及阻塞持续多久。利用预测的堵塞信息，该项目将提出一个多尺度准时（JIT）预测中断处理框架。对于短时间的中断，将提出跨层预测链路/网络层设计来隐藏上层中断。对于持续时间较长的中断，将开发JIT最优停止顺序切换机制，在考虑切换开销和截止时间的同时，最大限度地提高切换效率和服务质量。奥本大学还将开发一个毫米波试验台，以评估所有提出的解决方案。该奖项反映了美国国家科学基金会的法定使命，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

Optimal Handover Policy for mmWave Cellular Networks: A Multi-Armed Bandit Approach

• DOI: 10.1109/globecom38437.2019.9014079
• 发表时间: 2019-12
• 期刊: 2019 IEEE Global Communications Conference (GLOBECOM)
• 作者: Li Sun;Jing Hou;Tao Shu

Spoofing Detection for Indoor Visible Light Systems with Redundant Orthogonal Encoding

具有冗余正交编码的室内可见光系统的欺骗检测

• DOI: 10.1109/icc42927.2021.9500335
• 发表时间: 2021
• 期刊: ICC 2021 - IEEE International Conference on Communications
• 作者: Chen, Jian;Shu, Tao
• 通讯作者: Shu, Tao

Fast and High-Resolution NLoS Beam Switching Over Commercial Off-the-Shelf mmWave Devices

• DOI: 10.1109/tmc.2021.3064809
• 发表时间: 2022-11
• 期刊: IEEE Transactions on Mobile Computing
• 影响因子: 7.9
• 作者: Xueyang Hu;Tian Liu;Tao Shu

VL-Watchdog: Visible Light Spoofing Detection With Redundant Orthogonal Coding

VL-Watchdog：采用冗余正交编码的可见光欺骗检测

• DOI: 10.1109/jiot.2022.3155600
• 发表时间: 2022
• 期刊: IEEE Internet of Things Journal
• 影响因子: 10.6
• 作者: Chen, Jian;Shu, Tao
• 通讯作者: Shu, Tao

Target Information Trading - An Economic Perspective of Security

• DOI: 10.1007/978-3-030-37231-6_7
• 发表时间: 2019-10
• 作者: Jing Hou;Li Sun;Tao Shu;Husheng Li