TY - GEN
T1 - Cost-and energy-aware multi-flow mobile data offloading under time dependent pricing
AU - Zhang, Cheng
AU - Gu, Bo
AU - Liu, Zhi
AU - Yamori, Kyoko
AU - Tanaka, Yoshiaki
N1 - Funding Information:
This work is part of the Grant-in-Aid for Young Scientists (B) research programme with grant number 16K18109, which is financed by Japan Society for the Promotion of Science (JSPS).
Publisher Copyright:
© 2017 IFIP.
PY - 2017/7/1
Y1 - 2017/7/1
N2 - Nowadays, mobile network operators (MNOs) are trying to deploy wireless local area network (LAN) to offload mobile data from their cellular networks to complementary wireless LAN for congestion relief and cost savings. However, these network-centric methods do not take into consideration mobile user's (MU's) interests of monetary cost, energy consumption, and applications' deadlines. How the MU decides whether to offload their traffic to a complementary wireless LAN is non-trivial and important issue. Previous studies assume that MNO adopts usage-based pricing for mobile data, which only cares about how much a MU consumes data but not when a MU consumes data. In this paper, we study the MU's policy to minimize his monetary cost and energy consumption under time-dependent pricing (TDP). We formulate MU's wireless LAN offloading problem as a finite-horizon discrete-time Markov decision process (MDP) and establish an optimal policy by a dynamic programming based algorithm. Extensive simulations are conducted to validate our proposed offloading algorithm.
AB - Nowadays, mobile network operators (MNOs) are trying to deploy wireless local area network (LAN) to offload mobile data from their cellular networks to complementary wireless LAN for congestion relief and cost savings. However, these network-centric methods do not take into consideration mobile user's (MU's) interests of monetary cost, energy consumption, and applications' deadlines. How the MU decides whether to offload their traffic to a complementary wireless LAN is non-trivial and important issue. Previous studies assume that MNO adopts usage-based pricing for mobile data, which only cares about how much a MU consumes data but not when a MU consumes data. In this paper, we study the MU's policy to minimize his monetary cost and energy consumption under time-dependent pricing (TDP). We formulate MU's wireless LAN offloading problem as a finite-horizon discrete-time Markov decision process (MDP) and establish an optimal policy by a dynamic programming based algorithm. Extensive simulations are conducted to validate our proposed offloading algorithm.
KW - Markov decision process
KW - TDP
KW - dynamic programming
KW - mobile data offloading
KW - time-dependent pricing
KW - wireless LAN
UR - http://www.scopus.com/inward/record.url?scp=85046651389&partnerID=8YFLogxK
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U2 - 10.23919/CNSM.2017.8256055
DO - 10.23919/CNSM.2017.8256055
M3 - Conference contribution
AN - SCOPUS:85046651389
T3 - 2017 13th International Conference on Network and Service Management, CNSM 2017
SP - 1
EP - 6
BT - 2017 13th International Conference on Network and Service Management, CNSM 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th International Conference on Network and Service Management, CNSM 2017
Y2 - 26 November 2017 through 30 November 2017
ER -
