PFI:AIR-TT: Wi-Rhythm: Scheduled WiFi for Next Generation Wireless Networks

这个PFI: AIR技术翻译项目专注于翻译Wi-Rhythm，这是一套无线局域网的WiFi算法，使用分布式调度来避免密集部署中用户之间的干扰。它满足了依赖物联网（IoT）技术的家庭、企业和行业对高性能无线网络的需求。Wi-Rhythm算法套件非常重要，因为启用它们的WiFi路由器将更好地服务于高密度部署的环境，例如物联网（例如工厂），需要保护高优先级流量免受低优先级流量影响的混合使用网络（例如家庭），以及可能存在高度WiFi异构的公共环境（例如办公楼）。该项目将为支持Wi-Rhythm的无线路由器提供软件和硬件，为支持Wi-Rhythm的客户端提供软件和硬件，为在不同环境下运行的Wi-Rhythm进行性能测量，进行成本分析，并列出可部署Wi-Rhythm的兼容设备列表。Wi-Rhythm算法套件将允许WiFi网络以预定的方式运行，并解决各种实际挑战，包括非积压节点的存在、部分连接、向后兼容性、与节能相关的睡眠和时间表更改。这些能力提供了以下优势：更高的吞吐量性能，更精确的服务，更好的能源效率，以及在飞行中任意调度算法的部署，与领先的竞争解决方案，如思科，Juniper，博科和华为提供的市场空间。该项目解决了从研究发现到商业应用的以下技术差距：如何在现成的WiFi设备（包括无线路由器和客户端设备）上部署Wi-Rhythm的设计和概念验证，以及如何将Wi-Rhythm部署在具有不同程度适应性的场景中。具体来说，该研究将探索和解决与设计、性能、可伸缩性、成本、遗留节点的存在、兼容性和通用性有关的问题。时间同步、寄存器设置、计算约束和内存使用方面可能存在的问题将得到解决。将对Wi-Rhythm算法参数进行微调，并开发一个分层系统架构来解决可扩展性问题。此外，参与该项目的人员，包括博士生和硕士生，将通过佐治亚理工学院的课程和佐治亚理工学院创业实验室的商业化过程获得创新和创业经验。该项目与佐治亚理工学院风险实验室合作，帮助加速从研究发现到商业现实的技术转化工作。

This PFI: AIR Technology Translation project focuses on translating the Wi-Rhythm, a suite of WiFi algorithms for wireless local area networks that uses distributed scheduling to avoid interference between users in dense deployments. It fills the need for higher performing wireless networks in residences, enterprises, and industries relying on internet-of-things (IoT) technologies. The Wi-Rhythm suite of algorithms is important because WiFi routers enabled with them will better serve environments with high-density deployments such as those expected with IoT (e.g. factories), mixed-use networks where high-priority traffic needs to be protected from low-priority traffic (e.g. homes), and public environments where there is likely to be a high-degree of WiFi heterogeneity (e.g. office buildings). The project will result in software and hardware for Wi-Rhythm enabled wireless routers, software and hardware for Wi-Rhythm enabled clients, performance measurements for Wi-Rhythm operating in different environments, cost analysis, and a list of compatible devices on which Wi-Rhythm could be deployed. The Wi-Rhythm suite of algorithms will allow WiFi networks to operate in a scheduled fashion and tackle a variety of practical challenges including the presence of non-backlogged nodes, partial connectivity, backward compatibility, power-saving related sleeping, and schedule changes. These capabilities provide the following advantages: higher throughput performance, more precision in service, better energy efficiency, and the deployment of arbitrary scheduling algorithms on the fly, when compared to the leading competing solutions such as those offered by Cisco, Juniper, Brocade, and Huawei in this market space.  This project addresses the following technology gaps as it translates from research discovery toward commercial application: design and proof of concept for how Wi-Rhythm can be deployed on off-the-shelf WiFi devices including wireless routers and client devices, and how Wi-Rhythm can be deployed in scenarios with different degrees of adaptability. Specifically, the research will explore and address issues pertaining to design, performance, scalability, cost, presence of legacy nodes, compatibility, and generality. Possible issues with time synchronization, register settings, computational constraints, and memory usage will be addressed. Fine-tuning of the Wi-Rhythm algorithm parameters will be performed, and a hierarchical system architecture to address scalability problems will be developed. In addition, personnel involved in this project, including doctoral and master's students, will receive innovation and entrepreneurship experiences through both Georgia Tech classes and the Georgia Tech Venture Lab commercialization process.The project engages the Georgia Tech Venture Lab to help in the process of accelerating the technology translation effort from research discovery toward commercial reality.