Cooperative content downloading scheme based on D2D multicast communications

Lianxin YANG; Dan WU; Feng YUAN; Chao YUE; Qinxue FU

doi:10.11959/j.issn.1000-436x.2020221

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Cooperative content downloading scheme based on D2D multicast communications

Papers | 更新时间：2024-06-05

- Cooperative content downloading scheme based on D2D multicast communications
- Journal on Communications Vol. 41, Issue 11, Pages: 64-73(2020)
- 作者机构：
  
  陆军工程大学通信工程学院，江苏南京 210007
- 作者简介：
- 基金信息：
  
  The Jiangsu Provincial Natural Science Fund for Outstanding Young Scholars(BK20180028);The National Natural Science Foundation of China(61671474);The Jiangsu Provincial Natural Science Fund for Excellent Young Scholars(BK20170089)
- DOI：10.11959/j.issn.1000-436x.2020221
  CLC： TN929.5
- Online First：2020-11，
  
  Published：25 November 2020
- 稿件说明：
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Lianxin YANG, Dan WU, Feng YUAN, et al. Cooperative content downloading scheme based on D2D multicast communications[J]. Journal on Communications, 2020, 41(11): 64-73.
DOI：

Lianxin YANG, Dan WU, Feng YUAN, et al. Cooperative content downloading scheme based on D2D multicast communications[J]. Journal on Communications, 2020, 41(11): 64-73. DOI： 10.11959/j.issn.1000-436x.2020221.

摘要

针对蜂窝网、车联网等网络中用户的内容下载场景，提出了一种基于终端直通（D2D）多播通信的合作内容下载机制改善下载性能。该机制充分利用内容请求者位置的邻近特性，将其分成不相交的簇。簇内的内容请求者合作从基站处下载一份完整的内容，并轮流向簇内其他内容请求者共享所下载的内容。这种下载方式下，内容共享额外消耗的资源由簇内内容请求者共同承担。在此过程中，提出了一种定价方法来激励内容请求者间的合作。该方法仅需要基站维持一个内容下载的价格。基于此，为最小化内容请求者的下载代价，研究了用户分簇、链路调度和功率分配的联合优化问题。为以较低的复杂度得到较优的解，基于联盟形成博弈设计了一个联合优化算法。仿真结果表明，相较于传统非合作机制，内容请求者在所提机制下的下载代价降低了约37.15%；在不同数目的内容请求者和蜂窝用户下，所提机制均优于其他基准机制。

Abstract

Aiming at the content downloading scenario in the network such as cellular network and vehicular network

a cooperative content downloading scheme based on device-to-device multicast communications was proposed to improve the content downloading performance.Such a scheme took advantage of the proximity feature of the content requesters and groups them into disjoint clusters.Firstly

the base station delivered the entire content to a cluster

and each content requester in a cluster downloaded a proportion of the entire content.Then

the content requesters took turns sharing their downloaded content with other content requesters in the same cluster.In this way

the additional resource consumption of content sharing in a cluster was shared by the content requesters in the cluster together.During this process

a pricing-based approach was proposed to motivate these content requesters to cooperate with each other.Such an approach only required the base station to maintain a content downloading price.Based on this

the joint issue of user clustering

link scheduling and power allocation was studied to minimize the total cost of content requesters.To obtain a superior solution with reductive complexity

a joint optimization algorithm was designed based on the coalition formation game.Numerical results show that compared with the traditional non-cooperative scheme

the total cost of content requesters was reduced by 37.15%.Under different numbers of content requesters and cellular users

the proposed scheme is both superior to other benchmark schemes.

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references

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