IEICE TRANSACTIONS on Communications
Cost- and Energy-Aware Multi-Flow Mobile Data Offloading Using Markov Decision Process
Summary :
With the rapid increase in demand for mobile data, mobile network operators are trying to expand wireless network capacity by deploying wireless local area network (LAN) hotspots on which they can offload their mobile traffic. However, these network-centric methods usually do not fulfill the interests of mobile users (MUs). Taking into consideration many issues, MUs should be able to decide whether to offload their traffic to a complementary wireless LAN. Our previous work studied single-flow wireless LAN offloading from a MU's perspective by considering delay-tolerance of traffic, monetary cost and energy consumption. In this paper, we study the multi-flow mobile data offloading problem from a MU's perspective in which a MU has multiple applications to download data simultaneously from remote servers, and different applications' data have different deadlines. We formulate the 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. Since the time complexity of the dynamic programming based offloading algorithm is still high, we propose a low time complexity heuristic offloading algorithm with performance sacrifice. Extensive simulations are conducted to validate our proposed offloading algorithms.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E101-B No.3 pp.657-666
- Publication Date
- 2018/03/01
- Publicized
- 2017/09/19
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2017NRP0014
- Type of Manuscript
- Special Section PAPER (Special Section on Network Resource Control and Management for IoT Services and Applications)
- Category
Authors
Cheng ZHANG
Waseda University
Bo GU
Kogakuin University,Waseda University
Zhi LIU
Waseda University,Shizuoka University
Kyoko YAMORI
Waseda University,Shizuoka University
Yoshiaki TANAKA
Waseda University,Asahi University
Keyword
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Cheng ZHANG, Bo GU, Zhi LIU, Kyoko YAMORI, Yoshiaki TANAKA, "Cost- and Energy-Aware Multi-Flow Mobile Data Offloading Using Markov Decision Process" in IEICE TRANSACTIONS on Communications,
vol. E101-B, no. 3, pp. 657-666, March 2018, doi: 10.1587/transcom.2017NRP0014.
Abstract: With the rapid increase in demand for mobile data, mobile network operators are trying to expand wireless network capacity by deploying wireless local area network (LAN) hotspots on which they can offload their mobile traffic. However, these network-centric methods usually do not fulfill the interests of mobile users (MUs). Taking into consideration many issues, MUs should be able to decide whether to offload their traffic to a complementary wireless LAN. Our previous work studied single-flow wireless LAN offloading from a MU's perspective by considering delay-tolerance of traffic, monetary cost and energy consumption. In this paper, we study the multi-flow mobile data offloading problem from a MU's perspective in which a MU has multiple applications to download data simultaneously from remote servers, and different applications' data have different deadlines. We formulate the 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. Since the time complexity of the dynamic programming based offloading algorithm is still high, we propose a low time complexity heuristic offloading algorithm with performance sacrifice. Extensive simulations are conducted to validate our proposed offloading algorithms.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2017NRP0014/_p
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@ARTICLE{e101-b_3_657,
author={Cheng ZHANG, Bo GU, Zhi LIU, Kyoko YAMORI, Yoshiaki TANAKA, },
journal={IEICE TRANSACTIONS on Communications},
title={Cost- and Energy-Aware Multi-Flow Mobile Data Offloading Using Markov Decision Process},
year={2018},
volume={E101-B},
number={3},
pages={657-666},
abstract={With the rapid increase in demand for mobile data, mobile network operators are trying to expand wireless network capacity by deploying wireless local area network (LAN) hotspots on which they can offload their mobile traffic. However, these network-centric methods usually do not fulfill the interests of mobile users (MUs). Taking into consideration many issues, MUs should be able to decide whether to offload their traffic to a complementary wireless LAN. Our previous work studied single-flow wireless LAN offloading from a MU's perspective by considering delay-tolerance of traffic, monetary cost and energy consumption. In this paper, we study the multi-flow mobile data offloading problem from a MU's perspective in which a MU has multiple applications to download data simultaneously from remote servers, and different applications' data have different deadlines. We formulate the 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. Since the time complexity of the dynamic programming based offloading algorithm is still high, we propose a low time complexity heuristic offloading algorithm with performance sacrifice. Extensive simulations are conducted to validate our proposed offloading algorithms.},
keywords={},
doi={10.1587/transcom.2017NRP0014},
ISSN={1745-1345},
month={March},}
Copy
TY - JOUR
TI - Cost- and Energy-Aware Multi-Flow Mobile Data Offloading Using Markov Decision Process
T2 - IEICE TRANSACTIONS on Communications
SP - 657
EP - 666
AU - Cheng ZHANG
AU - Bo GU
AU - Zhi LIU
AU - Kyoko YAMORI
AU - Yoshiaki TANAKA
PY - 2018
DO - 10.1587/transcom.2017NRP0014
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E101-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2018
AB - With the rapid increase in demand for mobile data, mobile network operators are trying to expand wireless network capacity by deploying wireless local area network (LAN) hotspots on which they can offload their mobile traffic. However, these network-centric methods usually do not fulfill the interests of mobile users (MUs). Taking into consideration many issues, MUs should be able to decide whether to offload their traffic to a complementary wireless LAN. Our previous work studied single-flow wireless LAN offloading from a MU's perspective by considering delay-tolerance of traffic, monetary cost and energy consumption. In this paper, we study the multi-flow mobile data offloading problem from a MU's perspective in which a MU has multiple applications to download data simultaneously from remote servers, and different applications' data have different deadlines. We formulate the 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. Since the time complexity of the dynamic programming based offloading algorithm is still high, we propose a low time complexity heuristic offloading algorithm with performance sacrifice. Extensive simulations are conducted to validate our proposed offloading algorithms.
ER -
English
