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Hierarchical cooperation for operator-controlled device-to-device communications: A layered coalitional game approach

机译:运营商控制的设备到设备通信的分层协作:分层的联合博弈方法

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Device-to-Device (D2D) communications, which allow direct communication among mobile devices, have been proposed as an enabler of local services in 3GPP LTE-Advanced (LTE-A) cellular networks. This work investigates a hierarchical LTE-A network framework consisting of multiple D2D operators at the upper layer and a group of devices at the lower layer. We propose a cooperative model that allows the operators to improve their utility in terms of revenue by sharing their devices, and the devices to improve their payoff in terms of end-to-end throughput by collaboratively performing multi-path routing. To help understanding the interaction among operators and devices, we present a game-theoretic framework to model the cooperation behavior, and further, we propose a layered coalitional game (LCG) to address the decision making problems among them. Specifically, the cooperation of operators is modeled as an overlapping coalition formation game (CFG) in a partition form, in which operators should form a stable coalitional structure. Moreover, the cooperation of devices is modeled as a coalitional graphical game (CGG), in which devices establish links among each other to form a stable network structure for multi-path routing. We adopt the extended recursive core, and Nash network, as the stability concept for the proposed CFG and CGG, respectively. Numerical results demonstrate that the proposed LCG yields notable gains compared to both the non-cooperative case and a LCG variant and achieves good convergence speed.
机译:已经提出了允许移动设备之间直接通信的设备到设备(D2D)通信作为3GPP LTE高级(LTE-A)蜂窝网络中本地服务的使能器。这项工作研究了分层的LTE-A网络框架,该框架由上层的多个D2D运营商和下层的一组设备组成。我们提出了一种合作模型,该模型允许运营商通过共享其设备来提高收益效用,并通过协作执行多路径路由来提高端到端吞吐量方面的收益。为了帮助理解操作员和设备之间的交互作用,我们提出了一种对合作行为进行建模的博弈论框架,此外,我们提出了一种分层联盟游戏(LCG)来解决其中的决策问题。具体而言,运营商的合作被建模为分区形式的重叠联盟形成博弈(CFG),其中运营商应形成一个稳定的联盟结构。此外,设备的协作被建模为联合图形游戏(CGG),其中设备之间相互建立链接,以形成用于多路径路由的稳定网络结构。我们分别采用扩展递归核心和Nash网络作为所提出的CFG和CGG的稳定性概念。数值结果表明,与非合作案例和LCG变体相比,拟议的LCG均具有显着的收益,并且实现了良好的收敛速度。

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