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CPU Load Control of LTE Radio Base Station
Linköping University, Department of Electrical Engineering, Automatic Control.
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

A radio base station (RBS) may become overloaded if too many mobile devices communicate with it at the same time. This could happen at for instance sport events or in the case of accidents. To prevent CPU overload, the RBS is provided with a controller that adjusts the acceptance rate, the maximum number of connection requests that can be accepted per time interval. The current controller is tuned in real radio base stations and the procedure is both time consuming and expensive. This, combined with the fact that the mobile data usage is predicted to increase puts more pressure on today's system. Thus, there is a need to be able to simulate the system in order to suggest an alternative controller.

In this thesis, an implementation of the system is developed in Matlab in order to simulate the RBS system load control behaviour. A CPU load model is estimated using system identification. The current version of the CPU load controller and an alternative PI CPU load controller are implemented. Both are evaluated on different test cases and this shows that it is possible to increase the performance of the system with the alternative CPU load controller, both in terms of lower amount of rejected connection requests and decreased CPU load overshoot.

Place, publisher, year, edition, pages
2015. , 71 p.
Keyword [en]
CPU load control, system identification, PI controller, radio base station, overload protection, LTE, telecommunication
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-123499ISRN: LiTH-ISY-EX–15/4912–SEOAI: oai:DiVA.org:liu-123499DiVA: diva2:885795
External cooperation
Ericsson AB
Subject / course
Automatic Control
Supervisors
Examiners
Available from: 2015-12-21 Created: 2015-12-21 Last updated: 2015-12-21Bibliographically approved

Open Access in DiVA

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