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Channel modeling is essential for design and performance evaluation ofnumerous protocols in vehicular networks. In this work, we study and provideresults for largescale and small-scale modeling of communication channel indense vehicular networks. We first propose an approach to remove the effect offading on deterministic part of the large-scale model and verify its accuracyusing a single transmitter-receiver scenario. Two-ray model is then utilizedfor path-loss characterization and its parameters are derived from theempirical data based on a newly proposed method. Afterward, we use{\alpha}-{\mu} distribution to model the fading behavior of vehicular networksfor the first time, and validate its precision by Kolmogorov-Smirnov (K-S)goodness-of-fit test. To this end, the significantly better performance ofutilizing {\alpha}-{\mu} distribution over the most adopted fading distributionin the vehicular channels literature, i.e. Nakagami-m, in terms of passing K-Stest has been investigated and statistically verified in this paper. A largereceived signal strength indicator (RSSI) dataset from a measurement campaignis used to evaluate our claims. Moreover, the whole model is implemented in areliable discrete event network simulator which is widely used in the academicand industrial research for network analysis, i.e. network simulator-3 (ns-3),to show the outcome of the proposed model in the presence of upper layernetwork protocols.

Composite {\alpha}-{\mu} Based DSRC Channel Model Using Large Data Set of RSSI Measurements