Fundamental Capacity Analysis for Identically Independently Distributed Nakagami-q Fading Wireless Communication

Abstract

With the advancement in technology, decent transfer rate of data for fast communication is an exigency. Different distributions on different wireless communication channels have been used previously to model them and to do performance analysis on the systems. In this work, capacity analysis of identically independently distributed Nakagami-q fading single-input multiple-output (SIMO) wireless communication is presented. The derivation of channel capacity with the analytical solution have been conducted using small limit argument approximation. Where the small limit argument approximation corresponds to the low signal-to-noise ratio (SNR) regime. SIMO channel capacity behavior with respect to number of receiver antennas and with respect to SNR have been explored in depth. The improvement of capacity is depicted rigorously. It has been found that using Nakagami-q distribution, capacity of the system increases as number of receiver antenna increases. It is also found that the capacity of this SIMO wireless system can be further improved through changing of certain parameters.

ADS-B data gating technique and its probabilistic models

“…Тогда вероятность отклонения от траектории может быть найдена как 1 , На практике значения ошибок по осям Ox, Oy будут отличаться друг от друга. Поэтому для оценки достоверности информации следует использовать более сложные распределения: распределение Хойта [17,18] и распределение Бекманна [19][20][21][22].…”