基于小基站的无线预存储技术的研究

发布时间：2018-02-22 07:36

本文关键词： 无线缓存随机几何斯塔克尔伯格博弈定价策略资源分配　出处：《南京理工大学》2017年硕士论文　论文类型：学位论文

【摘要】：近些年,随着智能终端的性能提升,无线数据吞吐量尤其是视频数据吞吐量迅速增长。无线预存储技术越来越受到研究者的关注。预存储技术是将数据事先存储在用户周围的小基站(Small-cell Base Station,SBS)中,不仅可以减少传输延迟和冗余数据传输,还可以提高频谱利用率。然而,如何对随机网络下预存储系统进行建模,如何提高用户的成功下载概率以及如何进行资源定价和资源分配都是迫切需要解决的问题。本文围绕以上问题展开研究工作,并取得如下成果:(1)基于随机几何理论,将小基站的位置分布建模为一个泊松点过程(PoissonPoint Process,PPP),推导出用户从小基站的存储器中成功下载视频的概率,并利用蒙特卡罗(MonteCarlo)仿真验证理论结果。然后,提出了一种最优缓存概率的预存储策略,以提高成功下载概率。仿真结果表明,优化缓存概率的方法能有效地提高成功下载概率。(2)提出一种在斯塔克尔伯格博弈(Stackelberg Game)的框架下解决资源定价和资源分配问题的方法。本文将小基站视作竞争资源,在单个网络运营商(Network ServiceProvider,NSP)的预存储系统中,引入单领导者的斯塔克尔伯格博弈,利用凸优化的方法,分析在非统一定价和统一定价两种策略下斯塔克尔伯格均衡。仿真结果表明斯塔克尔伯格博弈能有效地解决在单个网络运营商的预存储系统中小基站的定价和分配问题。(3)为了全面地研究预存储系统,进一步分析了多个网络运营商的预存储系统。引入多领导者的斯塔克尔伯格博弈,建立最优化问题,分析在视频零售商(Video Retailer,VR)有无预算约束的两种情况下的斯塔克尔伯格均衡。仿真结果表明斯塔克尔伯格博弈能有效解决在多个网络运营商的预存储系统中小基站的定价和分配问题。最后,总结了全文工作和不足之处,并对后续的研究进行了探讨和展望。
[Abstract]:In recent years, with the improvement of the performance of intelligent terminals, Wireless data throughput, especially video data throughput, is growing rapidly. Wireless pre-storage technology has attracted more and more attention of researchers. Pre-storage technology is to store data in small base stations around users in Small-cell Base stations (SBSs). Not only can the transmission delay and redundant data transmission be reduced, but also the spectral efficiency can be improved. However, how to model the pre-storage system in stochastic networks, How to improve the successful download probability of users and how to price and allocate resources are urgent problems to be solved. This paper focuses on the above problems, and obtains the following results: 1) based on stochastic geometry theory. The location distribution of a small base station is modeled as a Poisson Point process (Poisson Point process PPP). The probability of downloading video successfully in the memory of a small base station is derived, and the theoretical results are verified by Monte Carlo Monte Carlo simulation. In order to improve the probability of successful download, a pre-storage strategy of optimal cache probability is proposed. The simulation results show that, The method of optimizing buffer probability can effectively increase the probability of successful download.) A method to solve the problem of resource pricing and resource allocation under the framework of Stackelberg game is proposed. In this paper, the small base station is regarded as a competitive resource. In the pre-storage system of single network operator Network Service provider (NSP), the single leader Stackelberg game is introduced, and the convex optimization method is used. The Stackelberg equilibrium is analyzed under two strategies of non-uniform pricing and unified pricing. The simulation results show that the Stackelberg game can effectively solve the pricing and splitting of small base stations in a single network operator's pre-storage system. In order to study the pre-storage system comprehensively, In this paper, the prestorage system of multiple network operators is analyzed, and the multi-leader Stackelberg game is introduced to establish the optimization problem. This paper analyzes the Stackelberg equilibrium in the case of video retailer / video retailer VRV with or without budget constraints. The simulation results show that the Stackelberg game can effectively solve the problem of small base stations in multiple network operators' pre-storage systems. Pricing and distribution. Finally, This paper summarizes the work and shortcomings of the paper, and further studies are discussed and prospected.
【学位授予单位】：南京理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN929.5

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