Improved 5.9GHz V2V Short Range Path Loss Model

Kihei, Billy; Copeland, John A.; Chang, Yusun

doi:10.1109/mass.2015.84

Cited by 14 publications

(9 citation statements)

References 11 publications

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“…This suggests that for this particular section of the FC channel, a higher order ray model could provide a better approximation of the path loss. Moreover, in [42], it was reported that the Two-Ray ground-reflection model was better suited to rural environments and in other environments may be unreliable for distances less than 100 m, which aligns with our observations here for an urban environment. As a result, due to the inability of the Two-Ray ground-reflection model to accurately characterize the path loss over all of the considered channels and all of their constituent regions (i.e.…”

Section: Path Loss and Large-scale Fadingsupporting

confidence: 92%

Pedestrian-to-Vehicle Communications in an Urban Environment: Channel Measurements and Modeling

Doone

Cotton

Matolak

et al. 2019

IEEE Trans. Antennas Propagat.

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As wireless connectivity becomes increasingly ubiquitous, a greater emphasis will be placed upon the seamless integration of dissimilar networking technologies. One such example of this will occur in urban environments, where wearable devices and vehicular networks will operate in close proximity to one another. Clearly, a natural extension to both types of network is their interconnectivity through vehicle-to-pedestrian (V2P) or equivalently pedestrian-to-vehicle (P2V) communications as part of a much greater vehicle-to-X (V2X) based Intelligent Transportation System (ITS). To this end, we empirically investigate the P2V communications channel at 5.8 GHz for the case of a moving vehicle when a person positioned by the edge of a road was either stationary or walking parallel to the side of the highway. The measurements considered a chest mounted transmitter and four receiver locations on the vehicle covering the front wing mirrors and two positions on the roof, which simultaneously recorded the received signal power. To characterize the propagation mechanisms which are responsible for shaping the received signal in the P2V channel we decomposed it into its path loss, large-scale and small-scale fading components. We first show that although there was evidence of interference caused by multiple rays interacting with one another, the popular Two-Ray ground-reflection path loss model was unable to adequately describe the compounded effects of the vehicle and pedestrian's body on the signal attenuation in the majority of the considered scenarios. Instead, we found that the overall path loss was well characterized using a dual-slope log-distance model, with lognormal large-scale fading. Due to the often severe small-scale fading that was observed in the P2V channel, we have been able to utilize the κ-µ Extreme distribution with considerable success to characterize the worse than Rayleigh fading conditions which were encountered.

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Section: Path Loss and Large-scale Fadingsupporting

confidence: 92%

Pedestrian-to-Vehicle Communications in an Urban Environment: Channel Measurements and Modeling

Doone

Cotton

Matolak

et al. 2019

IEEE Trans. Antennas Propagat.

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“…Instead of giving results for all possible d 0 values, comparable drawings between some specific fixed d 0 values proposed in the literature and the optimum d 0 value determined by the proposed approach were presented in Figure 6. Fixed d 0 values used in the literature to calculate path loss exponents were given as 16 m in [1], 10 m in [2][3][4][5], and 1 m in [6,7]. Therefore, the calculated n values both for these fixed values and for the optimum d 0 values from our proposed approach ( n best ) were presented in Figure 6.…”

Section: Resultsmentioning

confidence: 99%

“…Lastly, although n values corresponding to both 16 m and 3.9 m in Figure 6f (S-6) were the same, the optimum reference distance was determined as 3.9 m because the proposed approach makes a decision for optimum reference distance value as close to T x as possible. Additionally, path loss exponent values for six different scenarios in highway environment using the proposed method were between 1.39 and 2.6. n was calculated as 1.77, 1.2-2.22, 1.92, 2.78, 1.98, and 1.66 for the different scenarios of similar highway environments in [2,3,7,8,16,17], respectively. Besides, dual-slope path loss model was used in [4] and path loss exponent values were calculated as 1.66 and 2.88.…”

Section: Resultsmentioning

confidence: 99%

“…The reference distance ( d 0 ) should be selected from the distance values included in the measured data for the determination of n value of any V2V measurement scenarios. In most of the studies in the literature [1][2][3][4][5][6][7], the d 0 is assigned as a constant value (e.g., 1 m, 10 m, 16 m) independent of the nature of the measured data and the path loss calculation is performed specifically. For the path loss calculations in [8] and [9], the reference distance was taken as different values according to the propagation environments and scenarios (10-116 m in [8] and 12-72 m in [9]), not as constant for all situations.…”

Section: Introductionmentioning

confidence: 99%

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Optimum reference distance based path loss exponent determination for vehicle-to-vehicle communication

Kuzulugil¹,

Hasirci²,

Çavdar³

2020

Turk J Elec Eng & Comp Sci

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Vehicle-to-vehicle (V2V) communication environment differs from classical wireless communication with respect to low antenna heights and high mobility. Therefore, V2V channel modeling based on real measurements is still crucial to get the channel parameters for the various road environments. One of the most extracted parameters from measurements is path loss exponent and selecting a fixed reference distance value in obtaining this parameter may also cause remarkable fitting errors. Thus, in this study, least square method-based approach for the best-fitted path loss exponent calculation was proposed by determining the optimum reference distance value from the V2V channel measurements. First, V2V channel measurements were carried out with commercially available DSRC OBU devices for six different highway scenarios in Gümüşhane, Turkey. Then, path loss exponents both for some fixed reference distance values in the literature and for the optimum reference distance values from our proposed approach were calculated and compared. Best-fitted path loss exponent values were obtained as 1.39-2.60 for the optimum reference distances determined using the proposed approach. The findings clearly show that the path loss exponents obtained with our proposed approach fit the measured data better than the results of fixed reference distance values.

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“…The path loss intercept of the same direction in 2.3 GHz is higher than that of the opposite direction while 5 GHz measurement has a reverse situation. In [5], the measurements were performed both in the same and opposite direction with different lanes in the road. However, the maximum measurement distance is restricted with 100 m, which is a very short distance for V2V communication channel measurements.…”

Section: Introductionmentioning

confidence: 99%

Experimental measurements on the effect of vehicle movement direction on received signal power in V2V communication

Kuzulugil¹,

Hasirci²,

Çavdar³

2021

International Journal of Automotive Engineering and Technologies

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Vehicle-to-Vehicle (V2V) communication has been a popular topic in recent years. V2V communication channel measurements in different environments and scenarios have been performed to reveal the effect of different parameters such as vehicles, buildings, or trees. However, vehicle movement direction is generally neglected when the measurement data are analyzed. In this study, V2V channel measurements were carried out in open roads similar to a highway but with less traffic. The measurement data are divided into two groups: the vehicles approaching each other and moving away from each other. The effect of vehicle movement direction on the received signal power is indicated by comparing the received signal power values of these two groups. The results show that the received signal power differs depending on vehicle movement direction. However, according to our findings, it is not clear which movement direction causes more path loss. The authors suggest that vehicle movement direction should be taken into account in analyzing, modeling, and simulations of V2V communication channel.

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Improved 5.9GHz V2V Short Range Path Loss Model

Cited by 14 publications

References 11 publications

Pedestrian-to-Vehicle Communications in an Urban Environment: Channel Measurements and Modeling

Pedestrian-to-Vehicle Communications in an Urban Environment: Channel Measurements and Modeling

Optimum reference distance based path loss exponent determination for vehicle-to-vehicle communication

Experimental measurements on the effect of vehicle movement direction on received signal power in V2V communication

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