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

TL;DR

This paper presents SRT-WiFi, a software-defined radio implementation of RT-WiFi that offers full configurability, improved timing, and effective rate adaptation for high-speed, real-time industrial wireless communication.

Contribution

It introduces a SDR-based RT-WiFi system with novel scheduling and rate adaptation algorithms, enhancing performance over commercial hardware solutions.

Findings

SRT-WiFi achieves better timing performance than COTS-based RT-WiFi.

The proposed scheduling algorithm effectively manages multi-cluster network resources.

Extensive experiments validate the system's high-speed, real-time capabilities.

Abstract

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.