Abstract:The bivariate Nakagami-m distribution with arbitrary fading parameters is derived, obtaining the probability density function (PDF), the cumulative density function (CDF) and the central moments. Additionally, limitations of that distribution are discussed. Introduction:The bivariate Nakagami-m distribution is derived in [1] for equal

Abstract-In this work, we propose a framework to obtain estimators from a variety of distributions used in composite fast fading and shadowing modeling with applications in wireless communications: the Suzuki (Rayleigh-lognormal), Nakagamilognormal, K (Rayleigh-gamma), generalized-K (Nakagamigamma) and α-µ (generalized gamma) distributions. These estimators are derived from the method of moments of these distributions in logarithmic units, usually known as log-moments. The goodness-of-fit of these estimators to experimental distributions has been checked from a measurement campaign carried out in an urban environment. Moreover a new method to separate fast fading and shadowing based on the Rathgeber procedure is proposed. The results conclude that the best-fitting distribution to the measurements is the Nakagami-lognormal. Also, the α-µ distribution provides an acceptable matching with the advantage of its simplicity.

No abstract

No abstract

In this letter we present a path loss characterization of the vehicular-to-vehicular (V2V) propagation channel. We have assumed a path loss model suitable for vehicular ad hoc networks (VANETs) simulators. We have investigated the value of the model parameters, categorizing in line-of-sight (LOS) and non-LOS (NLOS) paths. The model parameters have been derived from extensive narrowband channel measurements at 700 MHz and 5.9 GHz. The measurements have been collected in typical expected V2V communications scenarios, i.e., urban, suburban, rural and highway, for different road traffic densities, speeds and driven conditions. The results reported here can be used to simulate and design the future vehicular networks.