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IoT-enhanced Entertainment: A new use case for 5G Fixed Wireless Access: Exploring next-generation media consumption in the Smart Home
KTH, School of Computer Science and Communication (CSC).
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The next generation (5G) of mobile networking comes with a range of game-changing ambitions, particularly as a driver for the Internet of Things (IoT). In order for 5G to achieve its vast potential, the consumer expectations and market dynamics need to be translated into plausible use cases and viable business models. Content providers compete for the attention of the viewer and listener whose consumption patterns are changing dramatically; at the same time, the consumercentric IoT is on the rise, but struggling to make appealing value propositions to endconsumers. This thesis investigates IoT-enhanced entertainment, an innovative use case based on data collected about the user and her environment in order to deliver highly personalized content of contextual relevance. The report analyses this service across technology, business and consumer aspects with the aim of assessing the viability of 5G Fixed Wireless Access as an enabler of innovative media delivery in the smart home. In-depth expert interviews as well as a conference visit delivered key insights into the emerging category of IoT applications in the entertainment sphere, previously unexplored in connection with 5G. The analysis shows that IoT-enhanced entertainment as envisioned in this report caters to arising demands of media consumers for robust connectivity and tailored content, while responding to challenges of players in the entertainment and Information and Communication Technology sector. Hence, the case holds great potential in bringing value to both consumers and businesses, provided that data privacy needs are met with a reliable networking solution.

Place, publisher, year, edition, pages
2016.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-193924OAI: oai:DiVA.org:kth-193924DiVA: diva2:1034576
External cooperation
Ericsson
Educational program
Master of Science - Media Management
Supervisors
Examiners
Available from: 2016-10-27 Created: 2016-10-12 Last updated: 2016-10-27Bibliographically approved

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fulltext(3435 kB)38 downloads
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