论文标题

在软件定义的无线电上的RT-WIFI:设计和实施

RT-WiFi on Software-Defined Radio: Design and Implementation

论文作者

Yun, Zelin, Wu, Peng, Zhou, Shengli, Mok, Aloysius K., Nixon, Mark, Han, Song

论文摘要

在工业应用中应用高速实时无线技术具有降低部署和维护成本的巨大潜力。无线技术增强了移动性并减少移动工业设备(例如移动协作机器人)的沟通抖动和延迟。不幸的是,工业领域中使用的大多数现有无线解决方案要么无法支持所需的高速通信,要么无法保证确定性的实时性能。最新的无线技术RT-WIFI在高速数据速率和确定性通信性能之间取得了良好的平衡。但是,它是在商业(COTS)硬件上开发的,并需要大量的努力和硬件专业知识来维护和升级。为了解决这些问题,本文介绍了基于软件定义的无线电(SDR)RT-WIFI解决方案,我们称为SRT-WIFI。 SRT-WIFI为高速实时无线通信提供了全栈可配置性。我们介绍了SRT-WIFI的整体系统体系结构,并讨论了其关键功能,这些功能可以实现更好的定时性能,并与基于COTS硬件的RT-WIFI相比,解决了队列管理和费率适应问题。为了实现有效的网络管理,并在多群集SRT-WIFI中适应了速率,提出了一个新的调度问题,并提出了有效的算法来解决该问题。开发了一个多群集SRT-WIFI测试床以验证设计,并进行了广泛的实验以评估设备和系统级别的性能。

Applying high-speed real-time wireless technologies in industrial applications has the great potential to reduce the deployment and maintenance costs compared to their wired counterparts. Wireless technologies enhance the mobility and reduce the communication jitter and delay for mobile industrial equipment, such as mobile collaborative robots. Unfortunately, most existing wireless solutions employed in industrial fields either cannot support the desired high-speed communications or cannot guarantee deterministic, real-time performance. A more recent wireless technology, RT-WiFi, achieves a good balance between high-speed data rates and deterministic communication performance. It is however developed on commercial-of-the-shelf (COTS) hardware, and takes considerable effort and hardware expertise to maintain and upgrade. To address these problems, this paper introduces the software-defined radio (SDR)-based RT-WiFi solution which we call SRT-WiFi. SRT-WiFi provides full-stack configurability for high-speed real-time wireless communications. We present the overall system architecture of SRT-WiFi and discuss its key functions which achieve better timing performance and solve the queue management and rate adaptation issues compared to COTS hardware-based RT-WiFi. To achieve effective network management with rate adaptation in multi-cluster SRT-WiFi, a novel scheduling problem is formulated and an effective algorithm is proposed to solve the problem. A multi-cluster SRT-WiFi testbed is developed to validate the design, and extensive experiments are performed to evaluate the performance at both device and system levels.

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