Abstract
The mobile communication networks sector has experienced a great evolution during the last few years. The emergence of new services as well as the growth in the number of subscribers have motivated the search for new ways to optimize mobile networks. In this way, the objective pursued by optimization techniques has been evolving, shifting from the traditional optimization of radio parameters to the improvement of the quality perceived by users, known as quality of experience (QoE). In mobile networks, the radio link control (RLC) layer provides a reliable link between both ends of the communication and has a great impact on the QoE. In this paper, the optimization of the QoE for users based on the adjustment of the RLC layer is proposed. For this purpose, two typical services demanded by the users of mobile networks have been selected: the real-time video streaming service and file transfer service. For a broader view of the behavior of the QoE in relation to RLC, optimization tests have been carried out in scenarios with different system bandwidths. In this way, the relationship between the QoE and the optimal configuration of RLC in different network load situations has been analyzed. A proof of concept has been carried out to show the capability of this optimization. To that end, both a cellular network simulator and a live cellular network devised for research purposes have been used.
Highlights
Over the last few years, the number of subscribers as well as the traffic demand on mobile communications networks have been dramatically increasing
In the real-time video streaming service case, to configure the Taguchi’s method (TM)-based controller, the transmission buffer size of the radio link control (RLC) unacknowledged mode (UM) was selected as a factor or parameter to optimize and the mean opinion score (MOS) as the response metric to maximize
Two intermediate bandwidth values were selected in order to observe the benefits of a proper adjustment of the transmission buffer size of the RLC UM on the quality of experience (QoE) of the real-time video streaming service: 5 MHz and 10 MHz
Summary
Over the last few years, the number of subscribers as well as the traffic demand on mobile communications networks have been dramatically increasing. We propose the optimization of the QoE perceived by the users based on the adjustment of the RLC layer’s configuration parameters To this end, two types of services that present different characteristics have been selected—real-time video streaming and file transfer—allowing us to more deeply study the different operation modes of the RLC layer. In order to understand the effect caused by a bad configuration of the RLC parameters on the applications that make use of the TCP protocol, as in the case of a file transmission service, it is important to know how the TCP congestion control algorithm works
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