下行LiFi系统中以用户为中心的组合传输动态聚类设计

Weibin Ma, Lin Zhang, Furong Fang, Jing Bian
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引用次数: 2

摘要

光保真(LiFi)为室内高速无线传输提供了一个很有前途的解决方案。然而,在LiFi系统中,接入点(ap)的密集部署和单位频率复用可能会引起小区间干扰(ICI)问题。在本文中,我们考虑了将有害干扰转换为有用信号从而对抗ICI的组合传输(CT),并提出了一种用于下行LiFi系统的以用户为中心的动态聚类方案。在我们的设计中,以在比例公平约束下最大化系统吞吐量为目标,将CT聚类描述为一个混合整数非线性规划(MINLP)问题。然后,我们建立了一个精确势博弈模型,通过最佳响应算法找到纳什均衡,为MINLP问题提供了一个次优解。仿真结果表明,采用该方案的LiFi系统比采用单点传输(SPT)方案的系统具有更高的吞吐量和更好的满意度。
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Dynamic User-Centric Clustering Design for Combined Transmission in Downlink LiFi System
Light fidelity (LiFi) provides a promising solution for indoor high-speed wireless transmissions. However, the dense deployment of access points (APs) and the unity frequency reuse in LiFi system may induce the inter-cell interference (ICI) issue. In this paper, we consider the combined transmission (CT) which converts harmful interference to useful signals and thereby combats the ICI, and propose a dynamic user-centric clustering scheme for the downlink LiFi system. In our design, with the objective of maximizing the system throughput under proportional fairness constraints, the CT clustering is formulated as a mixed-integer non- linear programming (MINLP) problem. Then we set up an exact potential game (EPG) model, where the Nash equilibrium is found via the best response algorithm, to provide a suboptimal solution to the MINLP problem. Simulation results demonstrate that the LiFi system using our presented scheme exhibits a higher throughput and a better satisfaction degree than that employing the single-point transmission (SPT) scheme.
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