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Cost-efficient deployment strategy for future mobile networks carrying M2M traffic: A techno-economic analysis of mobile networks considering small cell solutions
KTH, School of Information and Communication Technology (ICT).
2014 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

In the era of rapid technology development it is only a matter of time when majority of devices will become inter-connected. At that point a concept of Internet of Things will become a reality, and leveraging on a true Machine-to- Machine (M2M) communication will be possible. Being able to monitor electricity spending, having your medical condition sent to your personal doctor, knowing when you will need to change the battery in your remote control or your window being able to close itself because it has started to rain, are only some of the perks of new connected world.

However, these devices will need to be connected and one of the solutions will be mobile networks. In this master thesis, a total cost of ownership model has been used so as to compare different deployment strategies of mobile networks carrying M2M traffic and to determine the cost-efficient solution. Compared strategies mostly include small cell solutions due to their general better signal characteristics in an environment of future high data demand scenarios and flexibility. In order to do so, firstly a characterization of M2M traffic had to be researched and afterwards requirements of network using LTE technology were proposed.

Finally, a partial discussion in regard to deployment strategies of mobile network has been done with an intake from Mobile Network Operators (MNOs). Moreover, aspects concerning present and future M2M market have been elaborated, again in retrospective to MNOs and in collaboration with other actors in the market.

Place, publisher, year, edition, pages
2014. , 51 p.
TRITA-ICT-EX, 2014:77
National Category
Computer and Information Science
URN: urn:nbn:se:kth:diva-177160OAI: diva2:871646
Available from: 2015-12-08 Created: 2015-11-16 Last updated: 2015-12-08Bibliographically approved

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