基于D2D流量卸载方案的设计

发布时间：2018-03-30 00:28

本文选题：流量卸载　切入点：合作下载　出处：《南京邮电大学》2017年硕士论文

【摘要】：随着智能终端设备的不断增加以及通信技术的不断升级,蜂窝数据呈现爆炸式的增长。造成蜂窝压力的原因之一是同样数据的多次重复下载,通过合作下载数据的方式可以减少数据下载的次数。基于D2D的流量卸载技术能够减轻蜂窝压力,提高用户数据接入体验,因此成为当前的热点研究领域。因此本文研究基于D2D的合作下载的流量卸载方案。然而现有的合作下载方案尚存在如下问题:第一,在合作数据分发的过程中并未将能量效率考虑进去;第二,在下载阶段已存在一些激励机制,但尚未有融进合作下载方案中的激励机制。论文的贡献在于以下三点:1、通过分组的方式进行合作数据下载,由组头从蜂窝网络下载数据,然后在组内分发数据。已有方案采用星状数据传输方式,但其在下载时间与系统吞吐量等方面的性能不足,故而提出组内链式传输方式。同时,相应的修改数据下载过程中的能量消耗表达式。最后,通过仿真实验证明该方案有效的提高能量效率,并提供更快的下载时间与更高的系统吞吐量。2、现有的激励方案不能很好的融合激励用户参与流量卸载过程与用户转发数据两方面。本文提出融合这两方面的集成的激励机制,并应用到合作数据下载方案中。其中通过反向拍卖方案激励用户参与流量卸载过程中,通过奖励计费函数激励用户转发数据。最后通过分析在流量卸载过程中,各个参与者的即得利益表明方案的可行性。3、在反向拍卖过程中,运营商需要知道参加拍卖用户的卸载潜力。本文针对D2D网络和Wi-Fi网络两种场景提出不同的预测模型,并将预测模型与仿真得出的实际值进行对比。由此,根据不同的预测模型可得出用户的卸载潜力。
[Abstract]:With the increasing number of smart terminal devices and the continuous upgrading of communications technology, cellular data is exploding. One of the reasons for cellular pressure is repeated downloads of the same data. It can reduce the number of data downloads by co-downloading data. D2D based traffic unloading technology can reduce cellular pressure and improve the user's data access experience. Therefore, this paper studies the traffic unload scheme based on D2D collaborative download. However, the existing cooperative download scheme still has the following problems: first, Energy efficiency is not taken into account in the collaborative data distribution process; second, there are some incentives already in place during the download phase. However, there is no incentive mechanism in the cooperative download scheme. The contribution of this paper lies in the following three points: 1: 1. Download the cooperative data by grouping, and download the data from the cellular network by the group head. Then the data is distributed in the group. The existing scheme uses star data transmission mode, but its performance in download time and system throughput is insufficient, so the intra-group chain transmission mode is proposed. At the same time, The expression of energy consumption in the process of data downloading is modified accordingly. Finally, the simulation results show that the proposed scheme can effectively improve the energy efficiency. It also provides faster download time and higher system throughput. The existing incentive schemes can not well combine the two aspects of encouraging users to participate in the flow unload process and the user forwarding data. This paper proposes an integrated incentive mechanism combining these two aspects. It is applied to the cooperative data download scheme. The reverse auction scheme is used to encourage users to participate in the process of traffic unloading, and the reward billing function is used to motivate the user to forward the data. Finally, through the analysis of the process of traffic unloading, The pay-as-you-go benefits of each participant indicate the feasibility of the scheme. 3. In the reverse auction process, operators need to know the unloading potential of users participating in the auction. In this paper, different prediction models are proposed for two scenarios: D2D network and Wi-Fi network. By comparing the prediction model with the actual value obtained by simulation, the unloading potential of the user can be obtained according to different prediction models.
【学位授予单位】：南京邮电大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN929.5

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