Mathias Sintorn

Service aware adaptive DRX scheme

Discontinuous Reception (DRX) in Long Term Evolution (LTE) is used to reduce the energy consumption when there is no data transfer for a given user. Current DRX works on a per-UE basis but works with fixed DRX. That is, DRX does not take into account that different services and different terminals have different requirements on Quality of Experience (QoE). We propose an efficient adaptive DRX method that can provide battery saving without degrading QoE of the services. This method utilizes service and terminal knowledge provided by Deep Packet Inspection (DPI) mechanism and modifies the DRX settings adaptively on the fly. This unique work analyses anonymous traffic data from an operational mobile broadband network and emulates the effects of various DRX settings upon this live traffic data. Live traffic has larger variance in the timescale of DRX than it is assumed by models used in state-of-the-art DRX schemes. Thus the proposed method outperforms existing solutions and get closer to the theoretically ideal case.

Traffic adaptive channel switching with time slice based predictors

Channel switching in HSPA networks is used to reduce the channel occupancy when there is no data transfer for the given user, this way reducing battery consumption. This paper is the first dealing with another important aspect that is the CPU load on the radio network controller (RNC) caused by channel switching. This is an optimization task, in which both the channel switching and staying on the high-bandwidth channel have costs. In this paper we propose a system to minimize the costs by applying a predictor based method which uses time slice based features in order to reduce the high variance in the feature values. The proposed system is evaluated and compared to other state-of-the-art methods.