ERI: SDR Beyond Radio: Enabling Experimental Research in Multi-Node Optical Wireless Networks via Software Defined Radio Tools and Techniques

ERI：超越无线电的 SDR：通过软件定义无线电工具和技术实现多节点光无线网络的实验研究

• 批准号: 2347514
• 负责人: Michael Rahaim
• 金额: $ 20万
• 依托单位: University of Massachusetts Boston
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-08-01 至 2026-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2347514&HistoricalAwards=false
• 关键词: ERI; SDR; Beyond; Radio; Enabling

The wireless communications ecosystem continues to be the most influential enabling technology in modern society. We have near-ubiquitous Internet access because of our wireless infrastructure. Wireless connectivity also allows for more than access to information. The wireless Internet of Things has enabled remote control over a breadth of devices – from a coffee pot to a drone or a Tesla. Even in the absence of a human user, wireless networks connect devices in machine-to-machine communications, and they allow our ever-growing artificial intelligence infrastructure to consume massive amounts of data from remote sensors. As data demand continues to increase, the research community is looking towards novel technologies to support the future of wireless. This includes a renewed interest in optical wireless communication (OWC) as a candidate technology for ultra-dense wireless networks. There has been extensive progress in highspeed OWC links; but there are open challenges when considering deployment of multi-user and multi-cell OWC systems in dense environments. Much of the existing work in this area is based in theory or simulation with minimal experimental validation. This tendency is due to the limited availability of toolkits that are openly accessible and possess real-time signal processing capabilities for OWC waveforms. Considering the advancements in RF communications over the past two decades, the RF community has clearly benefited from the concept of software defined radio (SDR) and related tools for RF signal processing. Namely, SDR has created a more equitable opportunity for research in wireless communications by reducing the barrier to entry and making it more feasible for researchers to physically instantiate novel ideas. This project will bring the benefits of SDR to OWC through development of an open-source OWC toolkit that integrates with widely used SDR software and equipment. The toolkit will allow researchers to implement and analyze novel techniques for multi-cell/multi-user OWC networks.The toolkit’s workflow scales from low-level simulation to real-time experimental analysis, including opportunities to explore a variety of research problems that would enable practical deployment of indoor OWC networks. The developed software tools and hardware deployment playbooks will focus on test systems related to multiple access, intercell interference, and handover in dense OWC networks. This project also enables evaluation of optical wireless systems that require distributed transmitters – including dynamic range adaptation, spatial modulation, and indoor positioning. Lastly, device usage characterization is considered in order to provide a deeper understanding of device motion/orientation in dense networks. The resulting characterization will ultimately improve the accuracy of simulations that aim to evaluate highly directional communication systems in the presence of mobile devices. The project offers merit in fundamental OWC research and in the introduction of tools to enable future contributions from the OWC community. The experimental analysis of OWC systems will provide a baseline comparison with theoretical work to either validate theoretical/simulated models or recognize the unique characteristics that may have been overlooked in modeling such systems. Characterization of mobile device usage will also offer value to the research community by improving models for dynamic devices at the scale of indoor wireless networks. In summary, this project will provide baseline experimental analysis for a variety of multi-cell/multi-user OWC systems along with an open-source platform that allows other OWC researchers to bring novel system design ideas to fruition in experimental systems. In this way, the introduction of SDR-based OWC tools will make experimental research in OWC systems more accessible to OWC researchers who have previously focused on theoretical modeling or simulation, and to those who are looking to develop a research program in OWC.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.

无线通信生态系统仍然是现代社会中最具影响力的使能技术。由于我们的无线基础设施，我们几乎无处不在的互联网接入。无线连接还允许更多的信息访问。无线物联网已经实现了对各种设备的远程控制-从咖啡壶到无人机或特斯拉。即使在没有人类用户的情况下，无线网络也可以通过机器对机器通信连接设备，它们允许我们不断增长的人工智能基础设施消耗来自远程传感器的大量数据。随着数据需求的持续增长，研究界正在寻求新技术来支持无线的未来。这包括对光无线通信（OWC）作为超密集无线网络的候选技术重新产生兴趣。在高速OWC链路方面已经取得了广泛的进展，但是当考虑在密集环境中部署多用户和多小区OWC系统时，存在公开的挑战。这一领域的大部分现有工作都是基于理论或模拟，实验验证很少。这种趋势是由于可公开访问且具有OWC波形实时信号处理功能的工具包的可用性有限。考虑到过去二十年来RF通信的进步，RF社区显然受益于软件定义无线电（SDR）的概念和RF信号处理的相关工具。也就是说，SDR为无线通信的研究创造了一个更公平的机会，降低了进入门槛，使研究人员更容易将新的想法具体化。该项目将通过开发与广泛使用的SDR软件和设备集成的开源OWC工具包，为OWC带来SDR的好处。该工具包将允许研究人员实现和分析多小区/多用户OWC网络的新技术。该工具包的工作流程从低级仿真扩展到实时实验分析，包括探索各种研究问题的机会，这些问题将使室内OWC网络的实际部署成为可能。开发的软件工具和硬件部署剧本将侧重于与密集OWC网络中的多址接入、小区间干扰和切换相关的测试系统。该项目还可以评估需要分布式发射机的光无线系统，包括动态范围自适应、空间调制和室内定位。最后，考虑设备使用特性，以提供更深入的了解密集网络中的设备运动/方向。由此产生的特性将最终提高模拟的准确性，旨在评估高度定向通信系统中存在的移动的设备。该项目在OWC基础研究和引入工具以使OWC社区能够做出未来贡献方面具有优势。OWC系统的实验分析将提供与理论工作的基线比较，以验证理论/模拟模型或识别在建模此类系统时可能被忽略的独特特性。移动终端使用的特征也将通过改进室内无线网络规模的动态设备模型为研究界提供价值。总之，该项目将为各种多单元/多用户OWC系统提供基线实验分析，沿着一个开源平台，允许其他OWC研究人员在实验系统中实现新颖的系统设计理念。通过这种方式，基于SDR的OWC工具的引入将使以前专注于理论建模或模拟的OWC研究人员更容易获得OWC系统的实验研究，以及那些希望在OWC中开发研究计划的人。该奖项反映了NSF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而被认为值得支持。