[26 May 2014] A bachelor student at RTSLAB was awarded the best thesis
award from IDA - Simon Andersson. more ...
[31 May 2012] A masters student at RTSLAB was awarded the best thesis
award from IDA - Ulf Magnusson. more ...
[27 February 2008] A masters student at RTSLAB was awarded the best thesis
award from IDA - Johan Sigholm. more ...
[03 March 2004] A masters student at RTSLAB was awarded the best thesis
award from IDA - Tobias Chyssler. more ...
[01 Jul 2003] For second year in a row a masters student at RTSLAB was awarded the best thesis
award from SNART - Mehdi Amirijoo. more ...
Master Thesis - Past Projects - Abstract
Load Control in a Radio Network Controller within UMTS
This thesis describes how to apply CPU load control on processors in a Radio Network Controller (RNC) for third generation mobile systems. Load control is a functionality to regulate the processor load so real time requirements of tasks running on the processor can be met. New services and new behaviour of end subscribers will result in new requirements on the load controller and the load control algorithms. This thesis has identified potential problems using traditional load control approaches used in preceding telecommunication applications. A solution of a new load control architecture is presented and evaluated in a simulated environment. Different types of algorithms are developed and tested to meet the desired characteristics of a load controller such as robustness, throughput and processor utilization.
The RNC load controller may have to be extended to include regulation of more functions than initiation of new connections and paging messages. Channel switching was chosen to be included in the load controller to ensure that processor load generated by subscribers connected to the network will not be too high. Although new tested algorithms were shown to have promising potential in future QoS-based scenarios, the leaky bucket principle was adequate for the current needs of the system.
Keywords: 3G Mobile communication, load control, user traffic modelling, adaptive QoS
Author(s): Tomas Lingvall
Contact: Simin Nadjm-Tehrani
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