WiFiUS: Collaborative Research: Low Overhead Wireless Access Solutions for Massive and Dynamic IoT Connectivity

WiFiUS：协作研究：用于大规模动态物联网连接的低开销无线接入解决方案

• 批准号: 1702752
• 负责人: Zhi Ding
• 金额: $ 15万
• 依托单位: University of California-Davis
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-04-01 至 2020-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1702752&HistoricalAwards=false
• 关键词: WiFiUS; Collaborative; Research; Low; Overhead

By wirelessly connecting billions of physical devices such as sensors, appliances, vehicles, machines, and wearable electronics, the ubiquitous connectivity to IoT (Internet of Things) will fundamentally change the way humans interact with one another and with the physical world. IoT technologies are poised to transform many critical sectors including health, energy, and transportation. On the other hand, the massive connectivity, uneven information payload, severe cost and power constraints, and diverse service needs of IoT applications also pose significant challenges to existing design principles of wireless systems. To address such challenges, this WiFiUS project aims to develop fundamentally new access protocols and transmission technologies specifically for the next-generation IoT-centric wireless applications, to achieve low-overhead and low-cost communications at high efficiency and low-latency. The success of the project will broadly benefit both wireless operators and equipment/device developers by addressing the timely and difficult challenge of effectively connecting massive number of IoT devices. The results of this project will be widely disseminated through tutorials, publications, exchanges with industry partners, and be incorporated into undergraduate and graduate education.Specifically, the project develops new IoT network frameworks, control algorithms and optimization tools to support high-performance and low-overhead connectivity for massive number of IoT devices with heterogeneous energy and latency requirements. Bringing together expertise spanning PHY/MAC-layers and signal processing as well as network-layer protocol design and optimization, the US-Finland team leverages two key innovations to unleash the potential of network-layer and physical-layer advances for IoT applications. First, the project targets the reduction of overhead and complexity (such as for channel access, scheduling, and beamforming) as a central investigative issue; and aims to unlock the vast efficiency gains of large scale multi-antenna coverage for IoT devices with low-overhead, low-cost, and low-power constraints. Second, the solutions will seamlessly integrate licensed and unlicensed bands, as well as stationary and mobile access points, in order to support the largest potential range of IoT applications with diverse QoS requirements. Integratively, the project will generate a novel and comprehensive set of solutions to support low-overhead and low-cost massive IoT connectivity, and to dynamically adapt to changing load- and traffic-patterns to deliver the required level of coverage and service quality.

通过无线连接数十亿个物理设备，例如传感器，设备，车辆，机器和可穿戴电子设备，无处不在的与物联网（物联网）无处不在的连接将从根本上改变人类与彼此之间的互动方式，并改变与物理世界的互动方式。物联网技术有望改变许多关键部门，包括健康，能源和运输。另一方面，物联网应用程序的巨大连通性，不均匀的信息有效负载，严重的成本和功率限制以及各种服务需求也对无线系统的现有设计原理构成了重大挑战。为了应对此类挑战，该Wifius项目旨在开发专门针对下一代IoT的无线应用程序的新的新访问协议和传输技术，以高效和低效率实现低超高和低成本通信。该项目的成功将通过解决有效连接大量物联网设备的及时且困难的挑战，从而广泛地使无线操作员和设备/设备开发人员受益。该项目的结果将通过教程，出版物，与行业合作伙伴进行交流，并将其纳入本科和研究生教育中，以广泛散布。具体来说，该项目开发了新的IoT网络框架，控制算法和优化工具，以支持高表现，并支持高度越来越多的IOT设备，以供您使用HETERECEENENTY和LATENCEENENTINCE和LATENCENENCE和LATENCENESS。汇集了跨越PHY/MAC层和信号处理的专业知识，以及网络层协议的设计和优化，Us-Finland团队利用了两项关键的创新，以释放网络层和物理层进步的物理应用程序的潜力。首先，该项目以降低开销和复杂性（例如渠道访问​​，调度和波束形成）为中心调查问题。并旨在解锁具有低空设备，低成本和低功率限制的物联网设备的大规模多面积覆盖范围的巨大效率。其次，解决方案将无缝整合许可和无执照的频段以及固定和移动访问点，以支持具有不同QoS要求的物联网应用程序的最大潜在范围。整合，该项目将生成一套新颖而全面的解决方案，以支持低空和低成本的大型物联网连接，并动态适应不断变化的负载和交通模式，以提供所需的覆盖范围和服务质量。

项目成果

A Markovian Design of Bi-Directional Robust Header Compression for Efficient Packet Delivery in Wireless Networks

• DOI: 10.1109/twc.2018.2875448
• 发表时间: 2019-01
• 期刊: IEEE Transactions on Wireless Communications
• 影响因子: 10.4
• 作者: Wenhao Wu;Z. Ding

Finding Link Topology of Large Scale Networks from Anchored Hop Count Reports

• DOI: 10.1109/glocom.2017.8253952
• 发表时间: 2017-12
• 期刊: GLOBECOM 2017 - 2017 IEEE Global Communications Conference
• 作者: Taha Bouchoucha;Chen-Nee Chuah;Z. Ding

Femtocell Scheduling as a Restless Multiarmed Bandit Problem Using Partial Channel State Observation

• DOI: 10.1109/icc.2018.8422619
• 发表时间: 2018-05
• 期刊: 2018 IEEE International Conference on Communications (ICC)
• 作者: Hesham M. Elmaghraby;Keqin Liu;Z. Ding

Low Complexity Header Compression with Lower-Layer Awareness for Wireless Networks

• DOI: 10.1109/icc.2019.8761888
• 发表时间: 2019-05
• 期刊: ICC 2019 - 2019 IEEE International Conference on Communications (ICC)
• 作者: Carlos Feres;Z. Ding

On Linear Precoding of Nonregenerative MIMO Relay Networks for Finite-Alphabet Source

有限字母源非再生MIMO中继网络线性预编码

• DOI: 10.1109/tvt.2017.2717925
• 发表时间: 2017
• 期刊: IEEE Transactions on Vehicular Technology
• 影响因子: 6.8
• 作者: Liang, Xiao;Ding, Zhi;Xiao, Chengshan
• 通讯作者: Xiao, Chengshan