Pricing and Resource Allocation via Game Theory for a Small-Cell Video Caching System
Pricing and Resource Allocation via Game Theory for a Small-Cell Video Caching System
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基于博弈论的小型视频缓存系统的定价和资源分配
DOI：
10.1109/jsac.2016.2577278
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发表时间：
2016-02
影响因子：
16.4
通讯作者：
Lajos Hanzo
中科院分区：
文献类型：
--
作者：
Youjia Chen;Zihuai Lin;Branka Vucetic;Lajos Hanzo
有证据表明，下载点播视频是蜂窝网络数据流量急剧增加的原因。在小小区基站（SBS）的存储器中缓存流行视频，即小小区缓存，是用于减少传输延迟同时减轻流行视频在回程信道上的冗余传输的有效技术。在本文中，我们考虑了一个商业化的小细胞缓存系统组成的网络服务提供商（NSP），几个视频零售商（VR），和移动的用户（MU）。NSP出于盈利的目的将其SBS出租给VR，VR在将热门视频存储在租用的SBS中后，可以向MU提供更快的本地视频传输，从而获得更多的利润。我们设想这个系统的框架内的Stackelberg游戏通过处理特定类型的资源的SBS。我们首先将MU和SBS建模为两个独立的泊松点过程，并通过随机几何理论，开发MU直接从SBS的内存中获得其选择的视频的特定事件的概率。然后，基于推导出的概率，我们制定了一个Stackelberg游戏，共同最大化的NSP和VR的平均利润。此外，我们通过求解一个非凸优化问题来研究Stackelberg均衡。借助这个博弈论框架，我们揭示了四个重要因素之间的关系：最优定价租赁SBS，SBS之间的VR分配，存储大小的SBS，和流行的VR分布。蒙特卡罗模拟表明，我们的随机几何为基础的分析结果密切匹配的经验。数值结果也提供了量化建议的博弈论框架，通过显示其定价和资源分配的效率。
Evidence indicates that downloading on-demand videos accounts for a dramatic increase in data traffic over cellular networks. Caching popular videos in the storage of small-cell base stations (SBS), namely, small-cell caching, is an efficient technology for reducing the transmission latency while mitigating the redundant transmissions of popular videos over back-haul channels. In this paper, we consider a commercialized small-cell caching system consisting of a network service provider (NSP), several video retailers (VRs), and mobile users (MUs). The NSP leases its SBSs to the VRs for the purpose of making profits, and the VRs, after storing popular videos in the rented SBSs, can provide faster local video transmissions to the MUs, thereby gaining more profits. We conceive this system within the framework of Stackelberg game by treating the SBSs as specific types of resources. We first model the MUs and SBSs as two independent Poisson point processes, and develop, via stochastic geometry theory, the probability of the specific event that an MU obtains the video of its choice directly from the memory of an SBS. Then, based on the probability derived, we formulate a Stackelberg game to jointly maximize the average profit of both the NSP and the VRs. In addition, we investigate the Stackelberg equilibrium by solving a non-convex optimization problem. With the aid of this game theoretic framework, we shed light on the relationship between four important factors: the optimal pricing of leasing an SBS, the SBSs allocation among the VRs, the storage size of the SBSs, and the popularity distribution of the VRs. Monte Carlo simulations show that our stochastic geometry-based analytical results closely match the empirical ones. Numerical results are also provided for quantifying the proposed game-theoretic framework by showing its efficiency on pricing and resource allocation.
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影响因子：
16.4
作者：
Xin Kang;Rui Zhang;M. Motani
通讯作者：
Xin Kang;Rui Zhang;M. Motani
影响因子：
3.7
作者：
Maddah-Ali, Mohammad Ali;Niesen, Urs
通讯作者：
Niesen, Urs
DOI：
10.1007/978-0-387-49835-5
发表时间：
2013-08
期刊：
--
影响因子：
--
作者：
D. Daley;D. Vere-Jones
通讯作者：
D. Daley;D. Vere-Jones
DOI：
10.1109/jproc.2009.2037213
发表时间：
2010-01
期刊：
Proc. IEEE
影响因子：
--
作者：
J. Akhtman;L. Hanzo
通讯作者：
J. Akhtman;L. Hanzo
影响因子：
7.9
作者：
Niyato, Dusit;Hossain, Ekram;Zhu Han
通讯作者：
Zhu Han