DSRC Channel Fading Analysis from Empirical Measurement (original) (raw)
Related papers
Analysis of Small-Scale Fading Distributions in Vehicle-to-Vehicle Communications
Mobile Information Systems, 2016
This work analyzes the characteristics of the small-scale fading distribution in vehicle-to-vehicle (V2V) channels. The analysis is based on a narrowband channel measurements campaign at 5.9 GHz designed specifically for that purpose. The measurements were carried out in highway and urban environments around the city of Valencia, Spain. The experimental distribution of the small-scale fading is compared to several analytical distributions traditionally used to model the fast fading in wireless communications, such as Rayleigh, Nakagami-m, Weibull, Rice, andα-μdistributions. The parameters of the distributions are derived through statistical inference techniques and their goodness-of-fit is evaluated using the Kolmogorov-Smirnov (K-S) test. Our results show that theα-μdistribution exhibits a better fit compared to the other distributions, making its use interesting to model the small-scale fading in V2V channels.
Influence of channel fading and capture for performance evaluation in vehicular communications
Autonomy and intelligent transportation systems (ITS) have recently shown an increased interest in vehicle ad hoc networks (VANETs). Additionally, the impending 5G and 6G technologies will result in substantial advancements for VANETs. IEEE 802.11p summarizes specifications of physical (PHY) and medium access control (MAC) layers for VANETs. Existing analytical methodologies require improvement despite the fact that performance assessments of IEEE 802.11p MAC have been carried out. Bit error and channel capture influence performance of vehicular communications in real-world transmission. These effects are investigated separately in previous works. In this paper, an extensive study is provided which integrates these two major factors. In VANETs, the influence of channel fading and capture on IEEE 802.11p is investigated analytically using a Markov chain model. For Nakagami-m, Rayleigh, and Rician fading channels, performance impacting factors are taken into account, and relationships...
The effects of RF impairments in Vehicle-to-Vehicle Communications
Radio frequency (RF) front-ends constitute a fundamental part of both conventional and emerging wireless communication systems. However, in spite of their importance they are often assumed ideal, although they are practically subject to certain detrimental impairments, such as amplifier nonlinearities, phase noise and in phase and quadrature (I/Q) imbalance (IQI). The present work is devoted to the quantification and evaluation of the RF IQI effects in the context of realistic wireless vehicle-to- vehicle (V2V) communications over double-Nakagami−m fading channels. Novel closed form expressions are derived for the corresponding outage probability for the case of ideal transmitter (TX) and receiver (RX), ideal TX and I/Q imbalanced RX, I/Q imbalanced TX and ideal RX, and joint I/Q imbalanced TX/RX. The offered analytic results have a relatively convenient algebraic representation and their validity is extensively justified through comparisons with respective results from computer simulations. Based on these, it is shown that cascaded fading results to considerable degradations in the system performance and that assuming ideal RF front-ends at the TX and RX induces non- negligible errors in the outage probability evaluation that can exceed 20% in several V2V communication scenarios.
Realistic Simulation of IEEE 802.11p Channel in Mobile Vehicle to Vehicle Communication
Intelligent Transportation Systems (ITS) is becoming an important paradigm, because of its ability to enhance safety and to mitigate congestion on road traffic scenarios. Realizing the fact that data collection scheme from in-situ test beds for large number of vehicles is always expensive and time consuming, before being employed in large scale, such safety critical system should be tested narrowing down the gap between real circumstances and analytical models in a simulation platform. It is evident that underlying radio wave propagation models can comprise the validity of large scale vehicular network simulation results. Vehicle-to-Vehicle (V2V) channels have higher dynamics due to rapidly varying topologies and environments which have significant impact on performance study of upper layer protocols and applications. In spite of the fact that few measurement based empirical channel models are present in the literature, they are not tested for large scale vehicular networks. In this study, we simulate suburban scenarios with hundreds of IEEE802.11p nodes in the OPNET simulation environment with more realistic channel models. The standard OPNET propagation model was replaced by Nakagami-m fading channel. For the sake of modeling, changing relative velocity attribute and separation distance, power spectrum and fading parameter-m were defined as function of velocity and separation distance respectively. Then statistics were collected to evaluate performance of physical and higher layers. Primarily we have found all the vehicles within the standard requirement for Dedicated Short Range Communications (DSRC) range of 1 kilometer may not receive packets, which was also found in several earlier publications.
International Journal of Distributed Sensor Networks, 2018
Developing a secure and smart intelligent transport system for both safety and non-safety application services requires a certain guarantee of network performance, especially in terms of throughput and packet collision performance. The vehicular ad hoc network propagation is strongly affected due to varying nature of the environment. The existing radio propagation path loss models are designed by using mean additional attenuation sophisticated fading models. However, these models do not consider the obstacle caused due to the obstacle of the vehicle in line of sight of the transmitting and receiving vehicle. Thus, the attenuation signal at the receiving vehicles/devices is affected. To address this issue, we present an obstacle-based radio propagation model that considers the effect caused due to the presence of obstructing vehicle in line of sight. This model is evaluated under different environmental conditions (i.e. city, highway, and rural) by varying the speed of vehicles and v...