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Cell Selection Game for Densely-Deployed Sensor and Mobile Devices In 5G Networks Integrating Heterogeneous Cells and the Internet of Things

机译:融合异构细胞和物联网的5G网络中密集部署的传感器和移动设备的细胞选择游戏

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摘要

With the rapid development of wireless networking technologies, the Internet of Things and heterogeneous cellular networks (HCNs) tend to be integrated to form a promising wireless network paradigm for 5G. Hyper-dense sensor and mobile devices will be deployed under the coverage of heterogeneous cells, so that each of them could freely select any available cell covering it and compete for resource with others selecting the same cell, forming a cell selection (CS) game between these devices. Since different types of cells usually share the same portion of the spectrum, devices selecting overlapped cells can experience severe inter-cell interference (ICI). In this article, we study the CS game among a large amount of densely-deployed sensor and mobile devices for their uplink transmissions in a two-tier HCN. ICI is embedded with the traditional congestion game (TCG), forming a congestion game with ICI (CGI) and a congestion game with capacity (CGC). For the three games above, we theoretically find the circular boundaries between the devices selecting the macrocell and those selecting the picocells, indicated by the pure strategy Nash equilibria (PSNE). Meanwhile, through a number of simulations with different picocell radii and different path loss exponents, the collapse of the PSNE impacted by severe ICI (i.e., a large number of picocell devices change their CS preferences to the macrocell) is profoundly revealed, and the collapse points are identified.
机译:随着无线网络技术的飞速发展,物联网和异构蜂窝网络(HCN)趋于集成在一起,形成了一个有前途的5G无线网络范例。高密度传感器和移动设备将部署在异构小区的覆盖范围内,以便它们各自可以自由选择覆盖它的任何可用小区,并与其他选择同一小区的资源竞争资源,从而在两者之间形成一个小区选择(CS)游戏这些设备。由于不同类型的小区通常共享频谱的相同部分,因此选择重叠小区的设备可能会遇到严重的小区间干扰(ICI)。在本文中,我们研究了大量密集部署的传感器和移动设备之间在两层HCN中进行上行链路传输的CS游戏。 ICI嵌入了传统的拥塞游戏(TCG),形成了带有ICI(CGI)和具有容量的拥塞游戏(CGC)的拥塞游戏。对于上述三个游戏,我们从理论上找到了选择宏小区的设备和选择微微小区的设备之间的圆形边界,这由纯策略Nash均衡(PSNE)表示。同时,通过许多具有不同微微小区半径和不同路径损耗指数的模拟,深刻揭示了受到严重ICI影响的PSNE崩溃(即,大量微微小区设备改变了其对宏小区的CS偏好),并且崩溃点被识别。

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