The switch to digital broadcasting technologies has allowed broadcasters an advanced level of personalization and interactivity. The possibility to deliver commercial content to more devices into the same domestic environment, excites both consumers and broadcasting service providers but is hindered by the lack of available RF spectrum. In this context, TV White Spaces (TVWS) are an ideal candidate for deploying interactive indoor broadcasting services, based on firm rules to avoid service disruption for broadcasters, by using joint spectrum sensing techniques. This paper proposes a distributed spectrum sensing method based on an IoT architecture. The architecture comes in support for short-range video broadcasting for delivering commercial contents to several TV devices in an indoor scenario, involving several sensing-enabled objects in a joint manner.

Distributed spectrum sensing for indoor broadcasting services using an IoT platform

FADDA, MAURO;NITTI, MICHELE;PILLONI, VIRGINIA;ATZORI, LUIGI;GIUSTO, DANIELE;POPESCU, VLAD;
2017

Abstract

The switch to digital broadcasting technologies has allowed broadcasters an advanced level of personalization and interactivity. The possibility to deliver commercial content to more devices into the same domestic environment, excites both consumers and broadcasting service providers but is hindered by the lack of available RF spectrum. In this context, TV White Spaces (TVWS) are an ideal candidate for deploying interactive indoor broadcasting services, based on firm rules to avoid service disruption for broadcasters, by using joint spectrum sensing techniques. This paper proposes a distributed spectrum sensing method based on an IoT architecture. The architecture comes in support for short-range video broadcasting for delivering commercial contents to several TV devices in an indoor scenario, involving several sensing-enabled objects in a joint manner.
9781509049370
Making better use of the spectrum; Multimedia IoT systems; Service deployments; Computer Graphics and Computer-Aided Design; Computer Networks and Communications; Computer Science Applications1707 Computer Vision and Pattern Recognition; Human-Computer Interaction; Electrical and Electronic Engineering; Media Technology; Communication
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11584/227474
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