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Game Theory and Lyapunov Optimization for Cloud-Based Content Delivery Networks With Device-to-Device and UAV-Enabled Caching

机译:基于设备对设备和支持UAV的缓存的基于云的内容交付网络的博弈论和Lyapunov优化

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摘要

The paper considers a cloud-based Content Delivery Network (CDN) with Device-to-Device (D2D) and Unmanned Aerial Vehicle (UAV) enabled caching. The network is managed by the operator that offers content transfer services to the set of Content Providers (CPs). A subscriber of any CP can receive its content either by first, cellular content transfer via a terrestrial Base Station (BS) or a UAV, or by second, D2D content transfer from another subscriber of this CP. Each CP aims to maximize its expected payoff defined as a reciprocal of the weighted sum of the expected content transfer cost and delay for its subscribers. The operators objective is to maximize its long-term average revenue and stabilize the queuing system which represents the content transfer services. To model the interactions between the operator and the CPs, a novel framework is proposed that combines: first, cooperative game that enables the CPs to form coalitions in which all subscribers can exchange content via D2D links, thereby reducing content transfer costs and delays; second, Lyapunov optimization based dynamic channel and UAVs activity allocation policy of the operator. Through analytical and numerical evaluations, it is proven that if the operator and each CP are rational, the network reaches a state where all the CPs are in the stable coalitional structure, whereas, the dynamic policy of the operator is optimal with the trade-off in the total queue backlog.
机译:本文考虑了基于云的内容交付网络(CDN),其中具有设备到设备(D2D)和无人飞行器(UAV)启用的缓存。该网络由运营商管理,该运营商向一组内容提供商(CP)提供内容传输服务。任何CP的订户都可以通过首先通过地面基站(BS)或UAV进行蜂窝内容传输,或通过第二D2D内容从该CP的另一订户进行传输来接收其内容。每个CP的目标是最大化其预期收益,定义为预期内容传输成本与订户延迟的加权总和的倒数。运营商的目标是最大化其长期平均收入,并稳定代表内容传输服务的排队系统。为了对运营商和CP之间的交互进行建模,提出了一个新颖的框架,该框架结合了以下内容:首先,协作游戏使CP能够形成联盟,所有订户都可以通过D2D链接交换内容,从而降低了内容传输成本和延迟。其次,基于李雅普诺夫优化的运营商动态通道和无人机活动分配策略。通过分析和数值评估,证明了如果运营商和每个CP都是合理的,则网络将达到所有CP都处于稳定联盟结构的状态,而运营商的动态策略则需要权衡取舍在总队列积压中。

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