A Software Defined Radio-Based Prototype for Wireless Metrics Studies in IoT Applications

A Software Defined Radio-Based Prototype for Wireless Metrics Studies in IoT Applications

The spectrum has always been an essential resource of information for wireless communications. With the continued growth of Internet of things (IoT) and 5G, there is a demand to understand how the spectrum is used. One of the challenges of deploying IoT applications is the crowded spectrum in the un...

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Bibliographic Details
Published in:Wireless personal communications Vol. 120; no. 3; pp. 2291 - 2306
Main Authors: Poveda, Héctor, Navarro, Kiara, Merchan, Fernando, Ramos, Edgar, González González, David
Format: Journal Article
Language:English
Published: New York Springer US 01-10-2021
Springer Nature B.V
Subjects:
Communications Engineering
Computer Communication Networks
Engineering
Hardware
Internet of Things
Networks
Power spectral density
Prototypes
Signal to noise ratio
Signal,Image and Speech Processing
Software
Software radio
Spectral density function
Wireless communications
5G
Software defined radio
Interference characterization
Wireless communications
Beaglebone Black
IoT
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Summary:The spectrum has always been an essential resource of information for wireless communications. With the continued growth of Internet of things (IoT) and 5G, there is a demand to understand how the spectrum is used. One of the challenges of deploying IoT applications is the crowded spectrum in the unlicensed industrial scientific medical bands leading to rising coexistence problems between different wireless protocols. To overcome this congestion, hardware tools supporting spectrum sensing can be used to manage the spectrum more efficiently. In this context, this work presents a prototype that measures a set wireless metrics on raw wireless signals acquired with software defined radio (SDR) technology. This prototype aims to provide mechanisms to sense and monitor spectrum usage that can mitigate one of the issues that IoT faces, the interference being produced by having different technologies using at the same frequency channels. The prototype features configurable radio frequency parameter and programmable periodical tasks execution. It displays wireless metrics such as signal to noise ratio, cumulative density function and power spectral density. This prototype uses web and SDR technologies, highlighting the idea and feasibility of combining these two technologies. In addition, it demonstrates the possibility to obtain wireless metrics with a low-cost hardware based on open source tools in a platform where interaction, debugging and maintaining becomes intuitive and easier. Results of measurements of LoRa protocol signals are presented to demonstrate the capabilities of the prototype.
ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-021-08281-x