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System Capacity Analysis on Constellation of Interconnected HAP Networks

机译:互连HAP网络星座的系统容量分析

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The high altitude platform (HAP) is an important communication platform for cloud storage in the next generation internet. The Multiple-input multiple-output (MIMO) techniques provide the significant diversity and multiplexing gain, which can improve the network performance effectively. In this paper, a virtual MIMO model is proposed by networking the constellation of interconnected HAPs. In a Rician fading, the diversity reception is investigated. The Probability density function (PDF) and cumulative distribution function (CDF) of the received signal-to-noise ratio (SNR) are derived. In addition, the CDFs of the system capacity and the system capacity with various SNR and Rician factors for different network configurations are analyzed. The simulation results validate the effectiveness of the performance analysis.
机译:高海拔平台(HAP)是下一代Internet中用于云存储的重要通信平台。多输入多输出(MIMO)技术提供了显着的分集和多路复用增益,可以有效地改善网络性能。在本文中,通过将互连的HAP星座网络化,提出了一个虚拟MIMO模型。在Rician衰落中,研究了分集接收。推导接收到的信噪比(SNR)的概率密度函数(PDF)和累积分布函数(CDF)。此外,分析了系统容量的CDF以及具有不同SNR和Rician因子的系统容量对于不同网络配置的CDF。仿真结果验证了性能分析的有效性。

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