Nakagami-$m$ MIMO信道模型

R. Mesleh, Osamah. S. Badarneh, Abdelhamid Younis
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引用次数: 3

摘要

Nakagami-$m$是一种被广泛采用的广义信道模型,因为它与大多数测量的衰落无线电信道非常吻合。此外,Nakagami-$m$的数学模型在分析上比其他已知的衰落信道更容易处理,这引起了研究界的极大兴趣。原始信道模型主要针对单输入单输出(SISO)系统提出,其中包络服从Nakagami分布,同时假定相位均匀分布。然而,对于实现多路复用增益的多输入多输出(MIMO)系统,如空间多路复用(SMX)和空间调制技术(smt),该模型先前被证明是不准确的。因此,提出了一种不同的Nakagami-$m$ MIMO信道模型,并证明了该模型可以正确地模拟不同条件下信道参数的行为。然而,本研究揭示了先前建议的模型是不精确的,因为相位分布没有准确地建模。同样,之前的模型只适用于Nakagami $m$参数的整数值。因此,本文提出了一种修改后的精确模型,并对其进行了深入分析。此外,新模型被证明适用于$m$的任意值(即,不一定是整数或半整数)。本文还提出了与蒙特卡罗模拟相比,解析公式正确的修正条件。为了说明目的,本研究中考虑了空间移位键控(SSK),正交空间调制(QSM)和SMX MIMO系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nakagami-$m$ MIMO Channel Model
Nakagami-$m$ is a widely adopted generalized channel model as it fits closely to the majority of measured fading radio channels. As well, the mathematical model for Nakagami-$m$ is more analytically tractable than other well-known fading channels, which attracted considerable interest among the research community. Original channel model was proposed mainly for single–input single–output (SISO) systems, where the envelope follows the Nakagami distribution while the phase is assumed to be uniformly distributed. However, such model is shown previously to be inaccurate for multiple–input multiple–output (MIMO) systems accomplishing multiplexing gains such as spatial multiplexing (SMX) and space modulation techniques (SMTs). As such, a different Nakagami-$m$ MIMO channel model was suggested and shown to correctly models the behavior of the channel parameters under different conditions. Yet, it is revealed in this study that the previously advised model is imprecise as the phase distribution was not accurately modeled. As well, the previous model was only realizable for integer values of the Nakagami $m$ parameter. Thereby, an altered accurate model is suggested and thoroughly analyzed in this article. Also, the new model is shown to be applicable for arbitrary values of $m$ (i.e., not necessarily integers or half integers). The paper also presents the modified conditions under which the analytical formulation is correct as compared to Monte-Carlo Simulation. For illustration purposes, space shift keying (SSK), quadrature spatial modulation (QSM) and SMX MIMO systems are considered in this study.
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