CRII: NeTS: Towards Joint Mobile Broadband and Ultra-Reliable Low-Latency Communications for Connected Autonomous Vehicles

CRII：NeTS：为联网自动驾驶汽车实现联合移动宽带和超可靠低延迟通信

基本信息

批准号：
1941348
负责人：
Omid Semiari
金额：
$ 17.35万
依托单位：
University of Colorado at Colorado Springs
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-08-19 至 2022-04-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1941348&HistoricalAwards=false
关键词：
CRII NeTS Towards Joint Mobile

项目摘要

Cellular vehicle-to-everything communication (C-V2X) is a promising solution to reduce road incidents and traffic in future smart cities by communicating critical safety and road information with connected and autonomous vehicles (CAVs). To guarantee safe and efficient operation of CAVs, emerging cellular networks must support services with ultra-reliability and low-latency requirements (e.g., emergency braking) together with mobile broadband applications that need very high data rates (e.g., high-definition maps). Meeting such stringent requirements for large number of CAVs is beyond the capacity of existing networks that operate at scarce sub-6 gigahertz frequencies. Furthermore, while high-frequency millimeter wave (mmWave) bands offer large bandwidth, mmWave communications pose new challenges in terms of reliability that stem from inherent propagation characteristics of mmWave signals. To address these challenges, the goal of this research is to develop a holistic framework that enables seamless multiplexing of heterogeneous C-V2X traffic over aggregated mmWave and sub-6 GHz frequencies, while taking into account unique limitations and complementary features of communications at each frequency band. This research is accompanied by a comprehensive educational plan that includes mentoring graduate and undergraduate students to participate in research and testbed development, as well as various outreach events for underserved students at local schools.This fundamental research enables inter-frequency range carrier aggregation to manage the heterogeneous vehicle-to-everything communication (C-V2X) traffic jointly over mmWave and sub-6 GHz bands and to optimize mobility management for connected and autonomous vehicles (CAVs), while addressing key challenges of mmWave links such as reliability and sparsity. Given the ongoing efforts by standardization groups are primarily focused on carrier aggregation over a single frequency range, new schemes for modeling, optimization, and performance analysis of C-V2X communications are required that account for fundamental differences between mmWave and sub-6 GHz communications. To this end, this framework brings forward novel solutions at the intersections of wireless networking, edge computing, graph theory, and reliability theory, to achieve the following key innovations: 1) Designing new flexible frame structures to dynamically manage the heterogeneous C-V2X traffic over the aggregated mmWave and sub-6 GHz frequency ranges; 2) Analyzing the end-to-end performance of the proposed multi-band radio access network (RAN) with advanced features such as RAN function splitting and edge computing capabilities; 3) Optimizing the mobility management for CAVs based on the derived end-to-end performance metrics; and 4) Developing a comprehensive simulation testbed to evaluate the proposed schemes. The anticipated results of the proposed research will advance C-V2X networks and expedite the deployment of CAVs.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.

蜂窝车联网通信 (C-V2X) 是一种很有前途的解决方案，可通过与联网自动驾驶车辆 (CAV) 通信关键的安全和道路信息来减少未来智慧城市的道路事故和交通流量。为了保证 CAV 的安全高效运行，新兴蜂窝网络必须支持具有超可靠性和低延迟要求的服务（例如紧急制动）以及需要极高数据速率的移动宽带应用（例如高清地图）。满足大量 CAV 如此严格的要求超出了以稀缺的 6 GHz 以下频率运行的现有网络的能力。此外，虽然高频毫米波 (mmWave) 频段可提供大带宽，但毫米波通信由于毫米波信号固有的传播特性而在可靠性方面提出了新的挑战。为了应对这些挑战，本研究的目标是开发一个整体框架，支持在聚合毫米波和 6 GHz 以下频率上无缝复用异构 C-V2X 流量，同时考虑到每个频率通信的独特限制和互补功能乐队。这项研究还伴随着一项全面的教育计划，其中包括指导研究生和本科生参与研究和测试台开发，以及为当地学校服务不足的学生举办各种外展活动。这项基础研究使频率范围内的载波聚合能够管理通过毫米波和 6 GHz 以下频段联合实现异构车对万物通信 (C-V2X) 流量，优化联网和自动驾驶车辆 (CAV) 的移动管理，同时解决毫米波链路的关键挑战，例如可靠性和稀疏性。鉴于标准化组织正在进行的工作主要集中在单一频率范围内的载波聚合，因此需要用于 C-V2X 通信的建模、优化和性能分析的新方案，以解决毫米波和 6 GHz 以下通信之间的根本差异。为此，该框架在无线网络、边缘计算、图论和可靠性理论的交叉点上提出了新颖的解决方案，以实现以下关键创新：1）设计新的灵活帧结构来动态管理异构C-V2X流量在毫米波和低于 6 GHz 的聚合频率范围内； 2) 分析所提出的多频段无线接入网络（RAN）的端到端性能，其具有RAN功能拆分和边缘计算能力等高级功能； 3）根据导出的端到端性能指标优化CAV的移动性管理； 4) 开发一个综合模拟测试平台来评估所提出的方案。拟议研究的预期结果将推进 C-V2X 网络并加快 CAV 的部署。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（6）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms

DOI：
10.1109/icc40277.2020.9148776
发表时间：
2020-02
期刊：
ICC 2020 - 2020 IEEE International Conference on Communications (ICC)
影响因子：
0
作者：
Tengchan Zeng;Omid Semiari;Mohammad Mozaffari;Mingzhe Chen;W. Saad;M. Bennis
通讯作者：
Tengchan Zeng;Omid Semiari;Mohammad Mozaffari;Mingzhe Chen;W. Saad;M. Bennis

Federated Deep Learning for Immersive Virtual Reality over Wireless Networks