NeTS: Small: Collaborative Research: Cooperative Interference-Embracing Communication in Multi-Hop Wireless Networks

NeTS：小型：协作研究：多跳无线网络中的协作抗干扰通信

• 批准号: 2113618
• 负责人: Huacheng Zeng
• 金额: $ 25万
• 依托单位: Michigan State University
• 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: 2020-10-01 至 2021-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2113618&HistoricalAwards=false
• 关键词: NeTS; Small; Collaborative; Research; Cooperative

While the proliferation of wireless devices and their Internet-centered applications has brought forth numerous wireless services, current wireless technologies are unable to meet the increasing communication demand caused by the huge number of wireless devices and the scarcity of available radio spectrum. The proposed research will make a concrete step toward bridging this gap by developing new communication algorithms and protocols for wireless networks, specifically multi-hop wireless networks. Multi-hop communication brings many benefits such as enlarged network coverage, reduced radio transmit power, and relaxed requirements for network infrastructure, yet interference severely degrades network performance. This project investigates this fundamental issue by developing practical approaches to managing interference in multi-hop wireless networks, with the objective of maximizing their throughput performance. The success of this project will advance the field's knowledge of wireless system design and implementation, significantly improve network throughput performance, and enlarge the network communication coverage, yielding ubiquitous high data rate wireless services. The project will also provide opportunities for research training for underrepresented students at undergraduate and graduate levels, and project results will be widely disseminated through high-profile tutorials, talks, publications, software toolkits, and open-source sites. The goal of this project is to develop novel, practical, and foundational interference-embracing solutions to improve the throughput of multi-hop wireless networks by leveraging recent advances in physical layer techniques, and to evaluate such solutions using real-world implementations. Focusing on theory, protocol design, and system prototyping for interference management technologies, this project presents a comprehensive solution for advanced interference management in multi-hop wireless networks, including interference cancellation, interference alignment, and interference neutralization. In addition to significantly advancing interference management techniques for multi-hop wireless communications, this project will provide training opportunities for students spanning signal processing, optimization, algorithmic development, and networking infrastructure research; support talented female and underrepresented Ph.D. students in the completion of their doctoral studies; result in the dissemination of research results through high-profile tutorials, talks, publications, software toolkits, and open-source sites; and integrate research results into the development of new courses at both the University of Louisville and the University of Nebraska-Lincoln.

虽然无线设备及其以互联网为中心的应用的激增带来了众多的无线服务，但当前的无线技术无法满足由大量无线设备和可用无线电频谱的稀缺引起的日益增长的通信需求。拟议的研究将通过为无线网络，特别是多跳无线网络开发新的通信算法和协议，朝着弥合这一差距迈出具体的一步。多跳通信带来了许多好处，如扩大网络覆盖范围，降低无线电发射功率，并放宽了对网络基础设施的要求，但干扰严重降低网络性能。本项目通过开发实用的方法来管理多跳无线网络中的干扰，以最大限度地提高其吞吐量性能的目标来研究这一基本问题。该项目的成功将推进该领域的无线系统设计和实现的知识，显着提高网络吞吐量性能，扩大网络通信覆盖范围，产生无处不在的高数据速率无线服务。该项目还将为本科生和研究生中代表性不足的学生提供研究培训的机会，项目成果将通过高知名度的教程、讲座、出版物、软件工具包和开源网站广泛传播。该项目的目标是开发新颖的，实用的，和基础的干扰拥抱解决方案，以提高吞吐量的多跳无线网络，利用物理层技术的最新进展，并评估使用现实世界的实现这样的解决方案。该项目专注于干扰管理技术的理论、协议设计和系统原型设计，为多跳无线网络中的高级干扰管理提供全面的解决方案，包括干扰消除、干扰对齐和干扰中和。除了显著推进多跳无线通信的干扰管理技术外，该项目还将为学生提供跨越信号处理，优化，算法开发和网络基础设施研究的培训机会;支持有才华的女性和代表性不足的博士。该项目旨在帮助学生完成博士学业;通过高调的教程，讲座，出版物，软件工具包和开源网站传播研究成果;并将研究成果整合到路易斯维尔大学和内布拉斯加大学林肯分校的新课程开发中。

项目成果

UD-MIMO: Uplink Distributed MIMO for Wireless LANs

• DOI: 10.1109/secon52354.2021.9491622
• 发表时间: 2021-07
• 期刊: 2021 18th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)
• 作者: Hossein Pirayesh;Pedram Kheirkhah Sangdeh;Qiben Yan;Huacheng Zeng

LB-SciFi: Online Learning-Based Channel Feedback for MU-MIMO in Wireless LANs

• DOI: 10.1109/icnp49622.2020.9259366
• 发表时间: 2020-10
• 期刊: 2020 IEEE 28th International Conference on Network Protocols (ICNP)
• 作者: Pedram Kheirkhah Sangdeh;Hossein Pirayesh;Aryan Mobiny;Huacheng Zeng

VehCom: Delay-Guaranteed Message Broadcast for Large-Scale Vehicular Networks

• DOI: 10.1109/twc.2021.3054300
• 发表时间: 2021-06
• 期刊: IEEE Transactions on Wireless Communications
• 影响因子: 10.4
• 作者: Huacheng Zeng;Hossein Pirayesh;Pedram Kheirkhah Sangdeh;Adnan Quadri

DeepMux: Deep-Learning-Based Channel Sounding and Resource Allocation for IEEE 802.11ax

• DOI: 10.1109/jsac.2021.3087246
• 发表时间: 2021-08
• 期刊: IEEE Journal on Selected Areas in Communications
• 影响因子: 16.4
• 作者: Pedram Kheirkhah Sangdeh;Huacheng Zeng

JammingBird: Jamming-Resilient Communications for Vehicular Ad Hoc Networks

• DOI: 10.1109/secon52354.2021.9491603
• 发表时间: 2021-07
• 期刊: 2021 18th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)
• 作者: Hossein Pirayesh;Pedram Kheirkhah Sangdeh;Shichen Zhang;Qiben Yan;Huacheng Zeng