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Autonomous Interference Mapping for Industrial IoT Networks over Unlicensed Bands

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Document pages: 20 pages

Abstract: The limited coexistence capabilities of current Internet-of-things (IoT)wireless standards produce inefficient spectrum utilization and mutualperformance impairment. The entity of the issue escalates in industrial IoT(IIoT) applications, which instead have stringent quality-of-servicerequirements and exhibit very-low error tolerance. The constant growth ofwireless applications over unlicensed bands mandates then the adoption ofdynamic spectrum access techniques, which can greatly benefit from interferencemapping over multiple dimensions of the radio space. In this article, theauthors analyze the critical role of real-time interference detection andclassification mechanisms that rely on IIoT devices only, without the addedcomplexity of specialized hardware. The trade-offs between classificationperformance and feasibility are analyzed in connection with the implementationon low-complexity IIoT devices. Moreover, the authors explain how to use suchmechanisms for enabling IIoT networks to construct and maintainmultidimensional interference maps at run-time in an autonomous fashion.Lastly, the authors give an overview of the opportunities and challenges ofusing interference maps to enhance the performance of IIoT networks underinterference.

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