Brain-Inspired Learning for Intelligent Spectrum Sensing

Today, the volume of data that needs to be communicated between wireless agents and the cloud has surpassed the ability of the available systems to transfer, manage and process it. Yet nature has told us that such an approach is ineffective and consumes all the resources we try to preserve with comp...

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Bibliographic Details
Main Authors: Katehi, Linda, He, Chaoyi
Format: Conference Proceeding
Language:English
Subjects:
electromagnetics
emergent memories
Hardware
heterogeneous integration
hybrid architectures
intelligence
Microwave communication
Neuroscience
Real-time systems
Reliability engineering
sensors
Wireless communication
Wireless sensor networks
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Description
Summary:Today, the volume of data that needs to be communicated between wireless agents and the cloud has surpassed the ability of the available systems to transfer, manage and process it. Yet nature has told us that such an approach is ineffective and consumes all the resources we try to preserve with complex, expensive, and often inefficient solutions. In this paper, we will explore nature's design of intelligence and translate it to design guidelines for Intelligent Spectrum Sensors.
ISSN:2576-7216
DOI:10.1109/IMS37964.2023.10188081