Programmable Policies for Data Offloading in LTE Network

Mojdeh Amani; Toktam Mahmoodi; Mallikarjun Tatipamula; Hamid Aghvami

doi:10.1109/ICC.2014.6883806

Programmable Policies for Data Offloading in LTE Network

Mojdeh Amani, Toktam Mahmoodi, Mallikarjun Tatipamula, Hamid Aghvami

F5 Networks

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

28 Citations (Scopus)

Abstract

Mobile data offloading on smaller cells such as Wi-Fi comes as a natural solution to boost cellular networks capacity and keep up with the rapid increase of mobile data traffic demand. In this paper, we propose an offloading mechanism through applying the abstraction of Software-defined Networking (SDN) in the mobile backhaul to provide programmable offloading policy derivation that are aware of users and applications as well as condition of wireless network. The proposed mechanism considers the real-time network condition to derive the offloading policies and efficiently accommodate the traffic in both LTE and Wi-Fi networks. Numerical results prove that the proposed approach can significantly improves dropping rate of the incoming traffic with using more real-time and dynamic decisions for offloading.

Original language	English
Title of host publication	2014 IEEE International Conference on Communications (ICC)
Publisher	IEEE
Pages	3154-3159
Number of pages	6
DOIs	https://doi.org/10.1109/ICC.2014.6883806
Publication status	Published - 28 Aug 2014

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10.1109/ICC.2014.6883806

http://www.ctr.kcl.ac.uk/toktam/files/ICC14.pdf

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title = "Programmable Policies for Data Offloading in LTE Network",

abstract = "Mobile data offloading on smaller cells such as Wi-Fi comes as a natural solution to boost cellular networks capacity and keep up with the rapid increase of mobile data traffic demand. In this paper, we propose an offloading mechanism through applying the abstraction of Software-defined Networking (SDN) in the mobile backhaul to provide programmable offloading policy derivation that are aware of users and applications as well as condition of wireless network. The proposed mechanism considers the real-time network condition to derive the offloading policies and efficiently accommodate the traffic in both LTE and Wi-Fi networks. Numerical results prove that the proposed approach can significantly improves dropping rate of the incoming traffic with using more real-time and dynamic decisions for offloading.",

author = "Mojdeh Amani and Toktam Mahmoodi and Mallikarjun Tatipamula and Hamid Aghvami",

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AU - Amani, Mojdeh

AU - Mahmoodi, Toktam

AU - Tatipamula, Mallikarjun

AU - Aghvami, Hamid

PY - 2014/8/28

Y1 - 2014/8/28

N2 - Mobile data offloading on smaller cells such as Wi-Fi comes as a natural solution to boost cellular networks capacity and keep up with the rapid increase of mobile data traffic demand. In this paper, we propose an offloading mechanism through applying the abstraction of Software-defined Networking (SDN) in the mobile backhaul to provide programmable offloading policy derivation that are aware of users and applications as well as condition of wireless network. The proposed mechanism considers the real-time network condition to derive the offloading policies and efficiently accommodate the traffic in both LTE and Wi-Fi networks. Numerical results prove that the proposed approach can significantly improves dropping rate of the incoming traffic with using more real-time and dynamic decisions for offloading.

AB - Mobile data offloading on smaller cells such as Wi-Fi comes as a natural solution to boost cellular networks capacity and keep up with the rapid increase of mobile data traffic demand. In this paper, we propose an offloading mechanism through applying the abstraction of Software-defined Networking (SDN) in the mobile backhaul to provide programmable offloading policy derivation that are aware of users and applications as well as condition of wireless network. The proposed mechanism considers the real-time network condition to derive the offloading policies and efficiently accommodate the traffic in both LTE and Wi-Fi networks. Numerical results prove that the proposed approach can significantly improves dropping rate of the incoming traffic with using more real-time and dynamic decisions for offloading.

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BT - 2014 IEEE International Conference on Communications (ICC)

PB - IEEE

ER -

Programmable Policies for Data Offloading in LTE Network

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