Channel Model for CM-3 Scenario Over Generalized Distribution Under Various Window Functions

Abstract

In terms of fundamental research and technology development level, Wireless Body Area Network (WBAN) is a well-established paradigm of wireless system. However, like any wireless system, channel modeling of WBAN is one of the most challenging research eras. Also, literature suggests Channel Model-3, termed as CM-3 scenario based on the positioning of the Nano antenna, is one of the most useful deployment scenarios of WBAN. Further, arrival time and the number of arrivals, which plays an important role in the CM-3 scenario of WBAN, are modeled using the Poisson distribution. However, in Poisson distribution the variance and mean are equal and the probability of success is kept fixed. Hence, the versatility of the channel model based Poisson distribution is limited due to limited parameters. On the other hand, Negative Binomial (NB) distribution with extra parameters is a more general distribution. Therefore, this manuscript employs Negative Binomial distribution to present a more general channel model under the CM-3 scenario. In addition, effects of different windowing techniques, such as Bartlett and Gaussian window, on the channel model are analyzed under both, Poisson distribution and Negative Binomial distributions.