On efficient discovery of next generation local area networks

In this paper we propose an energy efficient idle scanning method of local area networks, which could be provided within the framework of Automated Network Discovery and Service Function in 3GPP Long Term Evolution. Further, we combine it with a proposal to utilize an accelerometer, to limit the amount of scans during times when the UE is not moving. We evaluate the scanning strategies in a residential scenario where a model for varying access point density is applied based on the uptake of the 802.11n technology. We further extend this scenario by proposing a mobility model. The results show that without assistance the UE will spend a significant amount of energy on scanning in areas with low density of access points, which will result in insufficient stand-by performance. Further, our studies show that the proposed assistance with channel knowledge is an effective way to keep the energy consumption at a tolerable level.