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Improving Coverage Probability in Heterogeneous Networks Based on Poisson Point Process

机译:基于泊松点过程提高异构网络的覆盖概率

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摘要

Introducing heterogeneous networks as a solution for increasing capacity and data rate in cellular networks faces several challenges to be addressed by network designers. Among them, interference is an important issue leading to the reduction in coverage probability or equivalently, the increase in outage probability. Hence, development of schemes that increase the coverage probability in networks seems essential. In this paper, a power control algorithm based on Poisson Point Process (PPP) is proposed to increase the coverage probability in networks. PPP has been shown to accurately model real networks. We provide numerical results to show that our proposed power control algorithm converges to an optimal point and increases the coverage probability, compared to previous works that apply constant transmit power for each tier of the network.
机译:将异构网络引入用于增加蜂窝网络中的容量和数据速率的解决方案面临着网络设计人员解决了几种挑战。其中,干扰是导致覆盖概率或等效减少的重要问题,即中断概率的增加。因此,发展在网络中增加覆盖概率的方案似乎是必不可少的。本文提出了一种基于泊松点处理(PPP)的功率控制算法来增加网络中的覆盖概率。 PPP已被证明可以准确地模拟真实网络。我们提供了数字结果,以表明我们所提出的功率控制算法会聚到最佳点并增加覆盖概率,与之前的每个层应用于每个层的恒定发射功率相比。

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