Channel Characterization and Modelling for Mobile Communications

Abstract

As a consequence of the growing interest in wireless communications systems, much effort is being devoted to the channel characterization and modelling. This is obvious since the performance depends fundamentally on the channels under consideration, so a communication system design must be preceded by the study of channel characteristics. This chapter considers the propagation environment in which a wireless system operates. In other words, we are primarily interested in the characterization of radio links between the transmitter and the receiver antenna that will be modelled by randomly time-variant linear systems. Wireless communication channels are usually described by considering three separable phenomena, namely, path loss, shadowing, and multipath fading. In the following, we briefly overview various efforts to characterize such aspects of wireless communication channels. Firstly, in this chapter we address the estimation of signal decay due to propagation loss which is very important in the determination of the necessary transmission power and the coverage area. Although propagation loss models are sometimes quite accurate, they generally fail to predict signal fluctuations due to the effect of the terrain near the antenna. Such a phenomenon of signal fluctuations is usually called shadowing. However, the effect of multipath fading is generally more complex because it does not only change in time but also varies over frequency. As a result, this topic will also be presented in enough depth and a number of statistical models will be studied. Moreover, the various categories of fading will be discussed. Finally, a novel small-scale model derived by the author is presented in order to give a recent application of the theory.

Στατιστική Μοντελοποίηση Του Φυσικού Καναλιού Σε Ασύρματα Ψηφιακά Τηλεπικοινωνιακά Συστήματα Με Γενικευμένα Μοντέλα Διαλείψεων

“…Δεδομένου ότι το μοντέλο Hoyt είναι μια ειδική περίπτωση του μοντέλου Beckmann, το πρώτο έχει επίσης τη δυνατότητα να περιγράφει ένα ανομοιογενές περιβάλλον. Επιπλέον, το μοντέλο διαλείψεων Weibull[29], έχει αποδειχθεί ότι προσφέρει πολύ καλή προσαρμογή σε πειραματικά δεδομένα καναλιών τόσο για εσωτερικά[30,[67][68][69] όσο και για υπαίθρια περιβάλλοντα[70][71][72] μέσω της παραμέτρου του α, που χαρακτηρίζει τη μη γραμμικότητα του μέσου διάδοσης. Ωστόσο, δεν υπάρχει καμία εργασία στη διεθνή βιβλιογραφία που να προτείνει ένα μοντέλο που να συνδυάζει τα προηγούμενα μοντέλα και επομένως τις ιδιότητες τους για μια πληρέστερη περιγραφή του καναλιού και για αυτό πραγματοποιείται στη συνέχεια.…”