Title: Mobility management through access network discovery and selection function for load balancing and power saving in software-defined networking environment
Authors: Yang, Shun-Neng
Ke, Cheng-Hsu
Lin, Yi-Bing
Gan, Chai-Hien
Department of Computer Science
Keywords: Access network discovery and selection function (ANDSF);Power saving;Software-defined networking (SDN);Long-term evolution (LTE);Wi-Fi
Issue Date: 2-Sep-2016
Abstract: The mobile traffic has grown rapidly with the popularity of smart mobile devices. To accommodate increasing traffic, heterogeneous network integration is considered as a viable solution. By overlapping the coverage of heterogeneous networks (e.g., the long-term evolution (LTE) and Wi-Fi integrated network), the mobile operators can use the offloading service (e.g., Wi-Fi offloading) to reduce network congestion. In this approach, a proper network coordination mechanism is required for load balancing of the LTE and Wi-Fi integrated network. In this paper, we use access network discovery and selection function (ANDSF) to suggest selection of proper base stations (e.g., LTE evolved Node Bs or Wi-Fi access points) to user equipment (UE) for load balancing. We integrate the ANDSF with software-defined networking (SDN) to make the ANDSF-aided network more programmable, flexible, and dynamically manageable. Moreover, we propose a power-saving ANDSF (PSA) algorithm to appropriately assign network resource to UEs and reduce the power consumption of Wi-Fi access points (APs). We have implemented the SDN-based PSA and measured the delay times. We also conduct simulation experiments to show that the successful probability of UEs\' resource requests to PSA is almost the same as the proposed schemes of the previous studies when the network traffic is unbalanced. Our study indicates that for unbalanced traffic, PSA can reduce 15.63 % more power consumption of Wi-Fi AP than the previous approaches.
URI: http://dx.doi.org/10.1186/s13638-016-0707-0
ISSN: 1687-1499
DOI: 10.1186/s13638-016-0707-0
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