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SINR distribution approximation for maximal ratio communications

机译：最大比率通信的SINR分布近似

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摘要

The SINR distribution is of key importance to wireless network performance analysis, planning and optimization. A realistic and usable SINR distribution has to consider both, the fast and the slow fading, i.e., to utilize a composite fading model. There have been only partial efforts in deriving a closed form and simple SINR distribution, using a realistic composite fading model and valid throughout the full SNR range. Recently, there is also a rising necessity for SINR distribution models that integrate the multi-antenna and multi-user aspects of the emerging 5G systems. This paper derives an analytical lognormal approximation to the SINR distribution in scenarios with maximal ratio communication using multiple transmit or receive antennas. The derivations incorporate a newly derived lognormal composite fading approximation and lognormal approximation to the distribution of the summary interference plus noise, in order to approximate the SINR distribution. The expressions are simple and closed form, which makes them applicable to a variety of communication network optimization and evaluation problems. The paper uses simulation analysis to prove the validity of the analytical SINR distribution approximation in homogeneous and heterogeneous cellular network deployments. The results show only fewdBsof mismatch in these realistic cellular network scenarios.
机译：SINR分布对于无线网络性能分析，规划和优化至关重要。现实和可用的SINR分布必须同时考虑快衰落和慢衰落，即要利用复合衰落模型。使用逼真的复合衰落模型并在整个SNR范围内都有效，因此仅作了部分努力即可得出闭合形式和简单的SINR分布。最近，集成新兴5G系统的多天线和多用户方面的SINR分配模型也越来越有必要。在使用多个发射或接收天线进行最大比率通信的情况下，本文推导了SINR分布的解析对数正态近似。推导将新推导的对数正态复合衰落近似和对数正态逼近合并到总干扰加噪声的分布中，以便近似SINR分布。这些表达式是简单且封闭的形式，这使它们适用于各种通信网络优化和评估问题。本文通过仿真分析来证明解析SINR分布近似在同构和异构蜂窝网络部署中的有效性。结果表明，在这些现实的蜂窝网络方案中，失配只有很少的dBs。

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