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Frontiers of Information Technology & Electronic Engineering
ISSN 2095-9184 (print), ISSN 2095-9230 (online)
2016 Vol.17 No.12 P.1253-1265
Caching resource sharing in radio access networks: a game theoretic approach
Abstract: Deployment of caching in wireless networks has been considered an effective method to cope with the challenge brought on by the explosive wireless traffic. Although some research has been conducted on caching in cellular networks, most of the previous works have focused on performance optimization for content caching. To the best of our knowledge, the problem of caching resource sharing for multiple service provider servers (SPSs) has been largely ignored. In this paper, by assuming that the caching capability is deployed in the base station of a radio access network, we consider the problem of caching resource sharing for multiple SPSs competing for the caching space. We formulate this problem as an oligopoly market model and use a dynamic non-cooperative game to obtain the optimal amount of caching space needed by the SPSs. In the dynamic game, the SPSs gradually and iteratively adjust their strategies based on their previous strategies and the information given by the base station. Then through rigorous mathematical analysis, the Nash equilibrium and stability condition of the dynamic game are proven. Finally, simulation results are presented to show the performance of the proposed dynamic caching resource allocation scheme.
Key words: Video caching, Oligopoly market, Game theory, Nash equilibrium, Stability analysis
• 本文的场景为一个基站和多个SPSs,系统被建模为寡头垄断市场,其中基站是产品(缓存空间)的提供方,以一定的价格(通过价格函数定义)向产品的需求方(SPSs)收取费用,SPSs共享基站的缓存空间。
• 我们将SPSs对于缓存空间的竞争建模为一个动态的非合作博弈的古诺模型,并通过基于Newton-Raphson方法的迭代算法来获得最佳的缓存空间需求量(古诺模型的纳什均衡解)。
• 仿真部分详细分析了不同参数下的这种动态缓存资源分配机制的性能和稳定性特征。
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DOI:
10.1631/FITEE.1500497
CLC number:
TP393
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On-line Access:
2024-08-27
Received:
2023-10-17
Revision Accepted:
2024-05-08
Crosschecked:
2016-11-08