Geographical proximity based target-group formation algorithm for D2D advertisement dissemination

Junseon Kim, Howon Lee
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引用次数: 4

Abstract

We here propose geographical proximity based target-group formation algorithm to efficiently distribute advertisement messages of social-commerce services with device-to-device (D2D) communications. The convergence of D2D communications and the social-commerce services is able to invoke synergistic effects because the D2D users can voluntarily relay the messages to their neighbor users to obtain a great deal of discounts for the corresponding products. By using both the angular distances among target-areas and the physical distances between the D2D access point and the target-areas, we make target-groups for efficient D2D advertisement dissemination. Through intensive simulations, we evaluate the performances of our algorithm with respect to the total number of successfully received users, the average number of relay users, and transmission efficiency compared with the conventional algorithm with cell sectorization based target-group formation.
基于地理邻近度的D2D广告传播目标群形成算法
本文提出了基于地理邻近度的目标群形成算法,通过设备对设备(D2D)通信有效地分发社交商务服务的广告信息。D2D通信与社交商务服务的融合能够产生协同效应,因为D2D用户可以主动将消息转发给相邻用户,从而获得相应产品的大量折扣。利用目标区域之间的角距离和D2D接入点与目标区域之间的物理距离,构建有效的D2D广告传播目标群体。通过密集的仿真,我们评估了算法在成功接收用户总数、中继用户平均数量和传输效率方面的性能,并与基于小区分割的目标群形成的传统算法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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