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Power allocation for statistically delay constrained video streaming in femtocell networks based on Nash Bargaining game

机译:基于纳什讨价还价游戏的毫微微小区网络中统计延迟受限视频流的功率分配

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In order to compensate inefficiency of traditional macrocell base stations (MBS), femtocell base stations (FBS) are deployed in cell areas. This deployment can enhance the Quality of Service (QoS) for the users which have difficulty communicating with the MBS. However, the presence of FBSs causes interference for MBS that should be controlled. Guaranteed QoS such as delay-bounds is required in real-time video applications. Moreover, the rapid growth of mobile-video traffic and time varying nature of wireless channels make it difficult to guarantee stringent delay constraints. However, providing delay-bounds based on effective capacity looks more appropriate for unreliable channels. This paper proposes a power allocation scheme based on Nash Bargaining Solution(NBS). NBS is a cooperative solution for Nash bargaining competitive game, which leads to a fair resource allocation and also satisfies the Pareto efficiency. We derive NBS in a tractable closed form formula by taking into account the delay-bounds and interference constraints. Analyzing the simulation results demonstrates that our proposed solution reaches a high level of fairness among users.
机译:为了补偿传统宏小区基站(MBS)的效率低下,在小区区域中部署了毫微微小区基站(FBS)。此部署可以为难以与MBS通信的用户提高服务质量(QoS)。但是,FBS的存在会对应控制的MBS造成干扰。在实时视频应用中,需要诸如延迟边界之类的有保证的QoS。而且,移动视频业务的快速增长和无线信道的时变特性使得难以保证严格的延迟约束。但是,基于有效容量提供延迟边界似乎更适合于不可靠的信道。提出了一种基于纳什议价解决方案的功率分配方案。 NBS是Nash讨价还价竞争博弈的合作解决方案,不仅可以公平分配资源,还可以满足帕累托效率。我们通过考虑延迟边界和干扰约束,以易于处理的封闭形式公式得出NBS。对仿真结果的分析表明,我们提出的解决方案在用户之间达到了较高的公平性。

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