Hee Soo Kim , Yumi Jang , Sang Hyun Lee , Seongcheol Kim
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引用次数: 0
摘要
如今,越来越多的 OTT(Over-the-Top)服务用户通过移动设备以动态消费模式访问内容,增强的移动性使他们能够随时随地享受 OTT 内容。然而,移动网络基础设施却很难跟上这一不断增长的需求,导致用户访问延迟和播放错误更加频繁。为了通过提高内容传输的速度和可靠性来改善 OTT 体验,同时减轻移动网络运营商(MNO)的运营负担,本研究提出了一种新方法,利用社会时动态和 OTT 服务用户之间的信任来实现更高效的内容分发和共享。为了验证这种方法,我们开发了一个基于代理的模型(ABM)测试平台,以模拟一个反映用户移动性和日常活动的社会背景的 OTT 内容共享生态系统。模拟结果表明,基于用户信任的内容共享解决方案可以有效减少移动数据流量。基于这一见解,我们引入了一种名为 "友谊辅助中继和分发"(FREND)的网络方法,它利用社交关系来增强内容共享网络。数值评估表明,在实际应用场景中,FREND 解决方案优于传统的物理缓存技术,为管理移动数据流量提供了更高效的解决方案。
How to relieve mobile network overload from mobile over-the-top (OTT) traffic: Proposing a user-based content-sharing solution
Today, a growing number of over-the-top (OTT) service users access content through mobile devices with dynamic consumption patterns, and enhanced mobility allows them to enjoy OTT content anytime and anywhere. However, mobile network infrastructures are struggling to keep up with this rising demand, leading to more frequent access delays and playback errors for users. To improve the OTT experience by enhancing the speed and reliability of content delivery while reducing the operational burden on mobile network operators (MNOs), this study proposes a novel approach that utilizes sociotemporal dynamics and trust among OTT service users to enable more efficient content distribution and sharing. To validate this approach, an agent-based model (ABM) testbed was developed to simulate an ecosystem for OTT content sharing that reflects the social context of user mobility and daily activities. The simulation results reveal that a content-sharing solution based on user trust can effectively reduce mobile data traffic. Building on this insight, we introduce a networking approach called ‘friendship-assisted relaying and distribution’ (FREND), which leverages social relationships to enhance content-sharing networks. Numerical evaluations demonstrate that the FREND solution outperforms traditional physical caching techniques in practical scenarios, offering a more efficient solution for managing mobile data traffic.
期刊介绍:
Telecommunications Policy is concerned with the impact of digitalization in the economy and society. The journal is multidisciplinary, encompassing conceptual, theoretical and empirical studies, quantitative as well as qualitative. The scope includes policy, regulation, and governance; big data, artificial intelligence and data science; new and traditional sectors encompassing new media and the platform economy; management, entrepreneurship, innovation and use. Contributions may explore these topics at national, regional and international levels, including issues confronting both developed and developing countries. The papers accepted by the journal meet high standards of analytical rigor and policy relevance.