Composite [Formula Omitted] Based DSRC Channel Model Using Large Data Set of RSSI Measurements

• Published in: IEEE transactions on intelligent transportation systems Vol. 20; no. 1; p. 205
• Main Authors: Mahjoub, Hossein Nourkhiz, Amin Tahmasbi-Sarvestani, Shah Mohammed Osman Gani, Fallah, Yaser P
• Format: Journal Article
• Language: English
• Published: New York The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 01.01.2019
• Subjects: Ad hoc networks; Computer simulation; Empirical analysis; Fading; Goodness of fit; Industrial research; Model accuracy; Modelling; Network analysis; Performance evaluation; Protocol (computers); Scale models; Signal strength; Statistical tests; Transceivers; Vehicles
• ISSN: 1524-9050; 1558-0016
• DOI: 10.1109/TITS.2018.2803628

Channel modeling is essential for design and performance evaluation of numerous protocols in vehicular networks. In this paper, we study and provide results for large- and small-scale modeling of communication channel in dense vehicular networks. We first propose an approach to remove the effect of fading on deterministic part of the large-scale model and verify its accuracy using a single transmitter-receiver scenario. Two-ray model is then utilized for path-loss characterization and its parameters are derived from the empirical data based on a newly proposed method. Afterward, we use [Formula Omitted] distribution to model the fading behavior of vehicular networks for the first time, and validate its precision by Kolmogorov–Smirnov(K–S) goodness-of-fit test. To this end, the significantly better performance of utilizing [Formula Omitted] distribution over the most adopted fading distribution in the vehicular channels literature, i.e., Nakagami-[Formula Omitted], in terms of passing K–S test has been investigated and statistically verified in this paper. A large received signal strength indicator (RSSI) data set from a measurement campaign is used to evaluate our claims. Moreover, the whole model is implemented in a reliable discrete event network simulator which is widely used in the academic and 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 layer network protocols.