TY - GEN
T1 - A distributed ADMM approach for mobile data offloading in software defined network
AU - Liu, Lanchao
AU - Chen, Xianfu
AU - Bennis, Mehdi
AU - Xue, Guoliang
AU - Han, Zhu
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/6/17
Y1 - 2015/6/17
N2 - Mobile data offloading has been introduced to alleviate the congestion of cellular networks and to improve the quality of service for mobile end users. This paper presents a distributed mechanism for mobile data offloading in software defined network (SDN) at the network edge. In SDN, the data traffic of base stations (BSs) can be dynamically offloaded to access points (APs), which is enabled by the SDN controller. The SDN controller formulates a revenue maximization problem to optimize the data offloading decision, and solves the problem in a fully distributed fashion. The proposed mechanism is based on the proximal Jacobian multi-block alternating direction method of multipliers (ADMM). BSs and APs perform the offloading decision update concurrently, and are coordinated by the SDN controller through dual variables to reach a consensus on the offloading demand and supply. Numerical simulations validate the effectiveness of the proposed algorithm.
AB - Mobile data offloading has been introduced to alleviate the congestion of cellular networks and to improve the quality of service for mobile end users. This paper presents a distributed mechanism for mobile data offloading in software defined network (SDN) at the network edge. In SDN, the data traffic of base stations (BSs) can be dynamically offloaded to access points (APs), which is enabled by the SDN controller. The SDN controller formulates a revenue maximization problem to optimize the data offloading decision, and solves the problem in a fully distributed fashion. The proposed mechanism is based on the proximal Jacobian multi-block alternating direction method of multipliers (ADMM). BSs and APs perform the offloading decision update concurrently, and are coordinated by the SDN controller through dual variables to reach a consensus on the offloading demand and supply. Numerical simulations validate the effectiveness of the proposed algorithm.
UR - http://www.scopus.com/inward/record.url?scp=84938723202&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84938723202&partnerID=8YFLogxK
U2 - 10.1109/WCNC.2015.7127732
DO - 10.1109/WCNC.2015.7127732
M3 - Conference contribution
AN - SCOPUS:84938723202
T3 - 2015 IEEE Wireless Communications and Networking Conference, WCNC 2015
SP - 1748
EP - 1752
BT - 2015 IEEE Wireless Communications and Networking Conference, WCNC 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 IEEE Wireless Communications and Networking Conference, WCNC 2015
Y2 - 9 March 2015 through 12 March 2015
ER -