数据卸载中分级感知预缓存与激励机制设计

Yiting Luo, Fen Hou, B. Lin, Guanghua Yang
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引用次数: 0

摘要

在基站等网络边缘预先预缓存热门内容是一种很有前途的方法,可以通过降低传输成本和网络拥塞来提高服务质量。本文通过将移动用户对不同内容的评价结合到激励机制设计中,提出了一种评价感知的激励机制,有效地选择一些BSs预缓存热门内容。在社会福利方面,与现有的其他方法相比,所提出的机制可以实现更高的绩效。具体而言,与随机缓存机制和基于投标价格的缓存机制相比,该机制可分别提高11.75%和9.97%的已实现社会福利。此外,该机制还满足了个体理性和真实性的良好特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rating-aware Pre-cache and Incentive Mechanism Design in Data Offloading
Pre-caching popular contents in advance at the network edge such as base stations is a promising method to improve the service quality by reducing the transmission cost and network congestion. In this paper, by jointly considering the mobile users’ rating on different contents into the incentive mechanism design, we proposed a rating-aware incentive mechanism for efficiently selecting some BSs to pre-cache the popular contents. The proposed mechanism can achieve higher performance compared with other existing methods in terms of the social welfare. In specific, the proposed mechanism can improve the achieved social welfare by 11.75% and 9.97% compared with the mechanism of random caching and the caching based on bid price, respectively. In addition, the proposed mechanism satisfies the nice properties of individual rationality and truthfulness.
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