Caching resource management of mobile edge network based on Stackelberg game
Mobile edge caching technology is gaining more and more attention because it can effectively improve the Quality of Experience (QoE) of users and reduce backhaul burden. This paper aims to improve the utility of mobile edge caching technology from the perspectie of caching resource management by exa...
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KeAi Communications Co., Ltd.
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doaj-5d8313fcadba4e54bd013a192d935d1e2021-02-02T07:14:54ZengKeAi Communications Co., Ltd.Digital Communications and Networks2352-86482019-02-01511823Caching resource management of mobile edge network based on Stackelberg gameQiang Li0Changlong Lu1Bin Cao2Qinyu Zhang3School of Electronic and Information Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, Guangdong, 518055, ChinaSchool of Mechanical and Electronic Engineering, Jingdezhen Ceramic Institute, Jingdezhen, Jiangxi, 333000, ChinaSchool of Electronic and Information Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, Guangdong, 518055, China; Pengcheng Lab, Shenzhen, Guangdong, 518100, China; Corresponding author.School of Electronic and Information Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, Guangdong, 518055, ChinaMobile edge caching technology is gaining more and more attention because it can effectively improve the Quality of Experience (QoE) of users and reduce backhaul burden. This paper aims to improve the utility of mobile edge caching technology from the perspectie of caching resource management by examining a network composed of one operator, multiple users and Content Providers (CPs). The caching resource management model is constructed on the premise of fully considering the QoE of users and the servicing capability of the Base Station (BS). In order to create the best caching resource allocation scheme, the original problem is transformed into a multi-leader multi-follower Stackelberg game model through the analysis of the system model. The strategy combinations and the utility functions of players are analyzed. The existence and uniqueness of the Nash Equilibrium (NE) solution are also analyzed and proved. The optimal strategy combinations and the best responses are deduced in detail. Simulation results and analysis show that the proposed model and algorithm can achieve the optimal allocation of caching resource and improve the QoE of users. Keywords: Stackelberg game, Caching resource management, Quality of Experience, Mobile edge cachinghttp://www.sciencedirect.com/science/article/pii/S235286481830141X |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Qiang Li Changlong Lu Bin Cao Qinyu Zhang |
spellingShingle |
Qiang Li Changlong Lu Bin Cao Qinyu Zhang Caching resource management of mobile edge network based on Stackelberg game Digital Communications and Networks |
author_facet |
Qiang Li Changlong Lu Bin Cao Qinyu Zhang |
author_sort |
Qiang Li |
title |
Caching resource management of mobile edge network based on Stackelberg game |
title_short |
Caching resource management of mobile edge network based on Stackelberg game |
title_full |
Caching resource management of mobile edge network based on Stackelberg game |
title_fullStr |
Caching resource management of mobile edge network based on Stackelberg game |
title_full_unstemmed |
Caching resource management of mobile edge network based on Stackelberg game |
title_sort |
caching resource management of mobile edge network based on stackelberg game |
publisher |
KeAi Communications Co., Ltd. |
series |
Digital Communications and Networks |
issn |
2352-8648 |
publishDate |
2019-02-01 |
description |
Mobile edge caching technology is gaining more and more attention because it can effectively improve the Quality of Experience (QoE) of users and reduce backhaul burden. This paper aims to improve the utility of mobile edge caching technology from the perspectie of caching resource management by examining a network composed of one operator, multiple users and Content Providers (CPs). The caching resource management model is constructed on the premise of fully considering the QoE of users and the servicing capability of the Base Station (BS). In order to create the best caching resource allocation scheme, the original problem is transformed into a multi-leader multi-follower Stackelberg game model through the analysis of the system model. The strategy combinations and the utility functions of players are analyzed. The existence and uniqueness of the Nash Equilibrium (NE) solution are also analyzed and proved. The optimal strategy combinations and the best responses are deduced in detail. Simulation results and analysis show that the proposed model and algorithm can achieve the optimal allocation of caching resource and improve the QoE of users. Keywords: Stackelberg game, Caching resource management, Quality of Experience, Mobile edge caching |
url |
http://www.sciencedirect.com/science/article/pii/S235286481830141X |
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