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Experience Blocking Ratio Based Game Theoretic Approach for Spectrum Sharing in Heterogeneous Networks

机译:基于经验阻塞率的异构网络频谱共享博弈论方法

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摘要

With the rapid developments of wireless communication and mobile devices, heterogeneous networks have emerged as a promising paradigm to provide users with various services in Internet of Things (IoTs). However, due to the limited resources, the spectrum sharing in heterogeneous networks becomes a new challenge. Therefore, in this paper we present an experience blocking (EB) ratio based game-theoretic approach for spectrum sharing in heterogeneous networks where the small cell can rent the spare spectrum from the macro cell. Specifically, first, a novel EB ratio based model is proposed to evaluate the efficiency of spectrum usage in a cell. Then, the Stackelberg game with one leader and one/multiple followers is used to formulate the interaction between macro cell and one/multiple small cells. With the game theoretic model based on the EB ratio, the macro cell can determine the optimal price for leasing spectrum, whereas small cells can optimize the cost to rent. Finally, an EB table is given to evaluate the blocking status of a cell and simulation results show that the proposed scheme can improve the efficiency of spectrum sharing better than other schemes.
机译:随着无线通信和移动设备的快速发展,异构网络已经成为一种有前途的范例,可以为用户提供物联网(IoT)中的各种服务。但是,由于资源有限,异构网络中的频谱共享成为一个新的挑战。因此,在本文中,我们提出了一种基于经验阻塞(EB)比率的博弈论方法,用于异构网络中的频谱共享,其中小型小区可以从宏小区中租用备用频谱。具体而言,首先,提出了一种新的基于EB比率的模型来评估小区中频谱使用的效率。然后,使用具有一个领导者和一个/多个跟随者的Stackelberg游戏来公式化宏单元和一个/多个小单元之间的交互。使用基于EB比率的博弈论模型,宏小区可以确定租赁频谱的最佳价格,而小型小区可以优化租金。最后,给出了一个EB表来评估小区的阻塞状态,仿真结果表明,该方案比其他方案能够更好地提高频谱共享效率。

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