The latest increase in number of smart user mobile devices and user expectations for high-quality rich media services has determined a growing demand for network resources, putting pressure on the existing network infrastructure. Dense Heterogeneous Networks (DenseNets) are a promising solution to this problem, supported by various individual networks and different technologies deployed within the same area. In such networks, mobile users face an important choice of what individual network to connect to in order to balance energy saving and delivery performance. This paper proposes an Energy saving-focused Mobility-Aware Network Selection (EMANS) algorithm which provides a good trade-off between energy consumption and resulted quality when delivering video content. EMANS includes an adaptive method to adjust the delivered video stream bitrate based on the available network resources such as it maintains good user perceived quality levels. Furthermore, EMANS reduces the number of handovers in comparison with other state-of-the-art approaches.
Mobility-aware energy-quality trade-off for video delivery in dense heterogeneous networks / Scopelliti, P; Araniti, Giuseppe; Muntean, G-M; Iera, A. - (2016). [10.1109/BMSB.2016.7521921]
Mobility-aware energy-quality trade-off for video delivery in dense heterogeneous networks
ARANITI, Giuseppe;Iera A
2016-01-01
Abstract
The latest increase in number of smart user mobile devices and user expectations for high-quality rich media services has determined a growing demand for network resources, putting pressure on the existing network infrastructure. Dense Heterogeneous Networks (DenseNets) are a promising solution to this problem, supported by various individual networks and different technologies deployed within the same area. In such networks, mobile users face an important choice of what individual network to connect to in order to balance energy saving and delivery performance. This paper proposes an Energy saving-focused Mobility-Aware Network Selection (EMANS) algorithm which provides a good trade-off between energy consumption and resulted quality when delivering video content. EMANS includes an adaptive method to adjust the delivered video stream bitrate based on the available network resources such as it maintains good user perceived quality levels. Furthermore, EMANS reduces the number of handovers in comparison with other state-of-the-art approaches.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
