A new derivation of the Nakagami-m distribution as a composite of the Rayleigh distribution

IF 2.1 4区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Wireless Networks Pub Date : 2024-03-26 DOI:10.1007/s11276-024-03713-5
Emilio Gómez-Déniz, Luis Gómez-Déniz
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Abstract

Mobile communications systems are affected by what is known as fading, which is a well-known problem largely studied for decades. The direct consequence of fading is the complete loss of signal (or a large decrease of the received power). Rayleigh fading is a reasonable model for wireless channels although, Nakagami-m distribution seems better suited to fitting experimental data. In this paper we obtain the Nakagami-m distribution as a composite (mixture) of the Rayleigh distribution, a result which as far as we know it has not been shown in the literature. This representation of the Nakagami-m distribution facilitates computations of the average BER (Bit Error Rate) for DPSK (Differential Phase Shift Keying) and MSK (Minimum-Shift Keying) modulations for this distribution and higher moments of them, which is of great applicability to modeling wireless fading channels. Furthermore, a simple, not depending on any special function, apart of the Gamma function, bivariate version of the Nakagami-m distribution is also proposed as a special case of the multivariate version which is also presented. The proposed composite distribution is simulated through the standard procedure of summation of phasors, and results for the new closed-form measures for the MSK modulation are also shown. From that it is clear that the alternative formulation of the Nakagami-m distribution allows for easier modeling of fading fading-shadowing wireless channels through the new explicit second order statistics metrics. is well suited for modelling fading-shadowing wireless channels.

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中上-m 分布作为瑞利分布复合体的新推导
移动通信系统会受到所谓衰落的影响,而衰落是一个众所周知的问题,已有几十年的研究历史。衰落的直接后果是信号完全丢失(或接收功率大幅下降)。瑞利衰落是无线信道的一个合理模型,但中上-m 分布似乎更适合拟合实验数据。在本文中,我们将中上-m 分布作为瑞利分布的复合(混合)分布,据我们所知,这一结果在文献中还没有出现过。Nakagami-m 分布的这种表示方法有助于计算 DPSK(差分相移键控)和 MSK(最小位移键控)调制的平均 BER(比特误码率),以及这种分布的高阶矩,这对无线衰落信道建模非常适用。此外,作为多变量版本的一个特例,还提出了一个简单的、不依赖于任何特殊函数(除伽马函数外)的中上-m 分布的双变量版本。通过相位求和的标准程序模拟了所提出的复合分布,并显示了 MSK 调制的新闭式测量结果。由此可见,通过新的显式二阶统计度量,Nakagami-m 分布的另一种表述方式可以更容易地对衰减衰减阴影无线信道进行建模。
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来源期刊
Wireless Networks
Wireless Networks 工程技术-电信学
CiteScore
7.70
自引率
3.30%
发文量
314
审稿时长
5.5 months
期刊介绍: The wireless communication revolution is bringing fundamental changes to data networking, telecommunication, and is making integrated networks a reality. By freeing the user from the cord, personal communications networks, wireless LAN''s, mobile radio networks and cellular systems, harbor the promise of fully distributed mobile computing and communications, any time, anywhere. Focusing on the networking and user aspects of the field, Wireless Networks provides a global forum for archival value contributions documenting these fast growing areas of interest. The journal publishes refereed articles dealing with research, experience and management issues of wireless networks. Its aim is to allow the reader to benefit from experience, problems and solutions described.
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