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Stochastic geometry based interference alignment in two-tier heterogenous cellular networks

机译:两层异构蜂窝网络中基于随机几何的干扰对准

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摘要

Conventional cellular networks are gradually becoming heterogeneous due to deployment of femtocells within cellular networks. Femtocells have been considered by the wireless industry as a promising solution not only to improve indoor coverage and capacity but also to unload traffic from already overburdened macro base stations. Therefore, effective mitigation of both cross-tier and co-tier interference is a major design challenge hetereogenuous cellular networks. In this work stochastic geometry based model is developed for two-tier (macro-femto) heterogeneous cellular networks by using Matern hardcore point process leveraging results on Voronoi tessellations. Complex system level simulations are used to evaluate SIR performance, coverage and capacity of networks. This paper considers fractional frequency reuse to mitigate co-tier and cross-tier interferences. Simulation results confirm significant improvement in coverage, and capacity of the networks using proposed model.
机译:由于毫微微小区在蜂窝网络内的部署,常规的蜂窝网络正逐渐变得异构。毫微微蜂窝已经被无线行业视为一种有前途的解决方案,不仅可以改善室内覆盖范围和容量,还可以减轻已经超负荷的宏基站的流量。因此,有效减轻跨层和共层干扰是异构蜂窝网络面临的主要设计挑战。在这项工作中,利用Matern硬核点过程,利用Voronoi镶嵌的结果,为两层(宏毫微微)异构蜂窝网络开发了基于随机几何的模型。复杂的系统级仿真用于评估SIR性能,网络覆盖范围和容量。本文考虑了分数频率复用,以减轻共层和跨层干扰。仿真结果证实了使用所提出的模型的覆盖范围和网络容量的显着改善。

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