Abstract
This paper presents the alternate Rician shadowed (ARS) fading model, a new statistical channel model that consists of two fluctuating specular components of which only one is active at a time. When a diffuse component is added, it can be regarded as a mixture of two Rician shadowed fading models. The ARS model has the advantage of providing either left-sided or right-sided bimodality (i.e., two-sided bimodality), depending on its shape parameters. This characteristic is not found in classical fading models, or even in more recent ones such as the two wave with diffuse power (TWDP) and the fluctuating two ray (FTR) models. This makes it suitable for fitting the bimodal fading distributions measured in systems, such as body-centric wireless links or land mobile satellite. To yield a mathematically tractable model, this research derives exact closed-form expressions for the following chief probability functions: 1) probability density function (PDF); 2) cumulative density function (CDF); and 3) moment generating function (MGF). The results obtained are used to analyze the performance of wireless communication systems subject to the ARS fading in terms of outage probability, ergodic capacity, and bit error rate. In addition, we show that the model provides a better fit for experimental measurements in body-centric scenarios than those reported in the literature.
Highlights
One of the key problems in the design of wireless communication systems is the statistical characterization of the small-scale random fluctuations in the level of the received signal due to the interaction between specular and diffuse scattered components
This paper presents the alternate Rician shadowed (ARS) fading model that allows two-sided bimodality with extremely low mathematical complexity
Since the empirical probability density function (PDF) is right-sided bimodal, the fit that is obtained with the new shadowed fading (NSF) and κ − μ/ inverse gamma models is worse than that obtained with the fluctuating two ray (FTR) and ARS models
Summary
One of the key problems in the design of wireless communication systems is the statistical characterization of the small-scale random fluctuations in the level of the received signal due to the interaction between specular and diffuse scattered components. Closed-form expressions for the probability density function (PDF), cumulative distribution function (CDF), and moment generating function (MGF) are derived, and a significant simplification of these functions is provided for the case of the shadowing parameter m is an integer In this work, these functions are used to analyze the performance of wireless communication systems in ARS fading channels, based on system performance metrics such as the outage probability, the ergodic capacity, and the bit error rate. These functions are used to analyze the performance of wireless communication systems in ARS fading channels, based on system performance metrics such as the outage probability, the ergodic capacity, and the bit error rate This model is used to fit the experimental measurements performed in the body-centric wireless system reported in [8]. Wireless-signal-communication performance metrics such as outage probability, ergodic capacity and bit error rate are obtained
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