Towards Efficient and Portable Software Modulator via Neural Networks for IoT Gateways

IF 7.7 2区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Transactions on Mobile Computing Pub Date : 2024-08-16 DOI:10.1109/TMC.2024.3444768

Jiazhao Wang;Wenchao Jiang;Ruofeng Liu;Shuai Wang

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引用次数: 0

Abstract

A physical-layer modulator is crucial for IoT gateways, but current solutions face issues like limited extensibility and platform-specificity due to soldered chipsets for specific technologies or diverse software toolkits for software radios. With the rapid expansion of the Internet of Things (IoT), such limitations are hard to ignore as the demand for versatile wireless technologies has increased. This paper introduces a novel approach using neural networks as an abstraction layer for these modulators in IoT gateways, termed NN-defined modulators. This method overcomes the challenges of extensibility and portability across different hardware platforms. The NN-defined modulator employs a model-driven approach based on mathematical principles, resulting in a lightweight, hardware-acceleration-friendly structure. These modulators are containerized with necessary runtime, facilitating agile deployment on varied platforms. We tested NN-defined modulators on platforms like Nvidia Jetson Nano and Raspberry Pi, showing they perform comparably to traditional modulators while offering efficiency improvements. The implementation is memory-efficient and adds minimal latency. Additionally, we demonstrate real-world applications of our NN-defined modulators in generating ZigBee and WiFi packets, compatible with standard TI CC2650 (ZigBee) and Intel AX201 (WiFi NIC) devices.

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通过神经网络为物联网网关开发高效便携的软件调制器

物理层调制器对物联网网关至关重要，但目前的解决方案面临着可扩展性有限和平台特定性等问题，原因是特定技术采用焊接芯片组，或软件无线电采用不同的软件工具包。随着物联网（IoT）的快速发展，对多功能无线技术的需求不断增加，这些限制因素已难以忽视。本文介绍了一种新方法，利用神经网络作为物联网网关中这些调制器的抽象层，称为神经网络定义调制器。这种方法克服了在不同硬件平台上的可扩展性和可移植性难题。NN 定义调制器采用了一种基于数学原理的模型驱动方法，形成了一种轻量级、便于硬件加速的结构。这些调制器与必要的运行时一起进行了容器化处理，便于在不同平台上灵活部署。我们在 Nvidia Jetson Nano 和 Raspberry Pi 等平台上测试了 NN 定义调制器，结果表明它们的性能与传统调制器相当，同时还提高了效率。这种实现方式内存效率高，延迟极小。此外，我们还演示了 NN 定义调制器在生成 ZigBee 和 WiFi 数据包方面的实际应用，这些调制器与标准的 TI CC2650（ZigBee）和 Intel AX201（WiFi 网卡）设备兼容。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Mobile Computing 工程技术-电信学

CiteScore

12.90

自引率

2.50%

发文量

403

审稿时长

6.6 months

期刊介绍： IEEE Transactions on Mobile Computing addresses key technical issues related to various aspects of mobile computing. This includes (a) architectures, (b) support services, (c) algorithm/protocol design and analysis, (d) mobile environments, (e) mobile communication systems, (f) applications, and (g) emerging technologies. Topics of interest span a wide range, covering aspects like mobile networks and hosts, mobility management, multimedia, operating system support, power management, online and mobile environments, security, scalability, reliability, and emerging technologies such as wearable computers, body area networks, and wireless sensor networks. The journal serves as a comprehensive platform for advancements in mobile computing research.