An Analytical Framework for Coverage in Cellular Networks Leveraging Vehicles

Choi, Chang-Sik; Baccelli, François

doi:10.1109/tcomm.2018.2835456

Cited by 74 publications

(67 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Consequently, the typical vehicle experiences an additional interference from the devices on the typical road compared to a randomly located point in space. A similar phenomenon was also discussed in [30].…”

Section: A Interference At Vehiclesupporting

confidence: 75%

Spatial and Temporal Analysis of Direct Communications From Static Devices to Mobile Vehicles

Choi

Baccelli

2019

IEEE Trans. Wireless Commun.

Self Cite

View full text Add to dashboard Cite

This paper proposes a framework to analyze an emerging wireless architecture where vehicles collect data from devices. Using stochastic geometry, the devices are modeled by a planar Poisson point process. Independently, roads and vehicles are modeled by a Poisson line process and a Cox point process, respectively. For any given time, a vehicle is assumed to communicate with a roadside device in a disk of radius ν centered at the vehicle, which is referred to as the coverage disk. We study the proposed network by analyzing its short-term and long-term behaviors based on its space and time performance metrics, respectively. As short-term analysis, we explicitly derive the signal-to-interference ratio distribution of the typical vehicle and the area spectral efficiency of the proposed network. As longterm analysis, we derive the area fraction of the coverage disks and then compute the latency of the network by deriving the distribution of the minimum waiting time of a typical device to be covered by a disk. Leveraging these properties, we analyze various trade-off relationships and optimize the network utility. We further investigate these trade-offs using comparison with existing cellular networks.

show abstract

Section: A Interference At Vehiclesupporting

confidence: 75%

Spatial and Temporal Analysis of Direct Communications From Static Devices to Mobile Vehicles

Choi

Baccelli

2019

IEEE Trans. Wireless Commun.

Self Cite

View full text Add to dashboard Cite

show abstract

“…In Fig. 14, we see that equation (13) predicts very well the simulated outage probability using the sampled point set. On the other hand, the PPP prediction using (14) with estimatesλ 1 = 0.0215,λ 2 = 0.0196 and λ 3 = 0.0195 is poor.…”

Section: Probability Of Outage − Synthetic Tracesmentioning

confidence: 80%

“…Despite their impressive accuracy, these models seem quite complex to incorporate into the performance evaluation of Vehicular ad hoc networks (VANETs). In order to balance between accuracy and analytical tractability, the Poisson line process can be used to model roads with random orientation, coupled with one-dimensional (1D) Poisson Point Processs (PPPs) for the locations of vehicles along each road [12], [13]. Under these assumptions, the distribution of vehicles becomes a Cox process in the plane, and the coverage probability of a typical vehicle is available in [12,Theorem 1].…”

Section: Introductionmentioning

confidence: 99%

Outage in Motorway Multi-Lane VANETs With Hardcore Headway Distance Using Synthetic Traces

Koufos

Dettmann

2021

IEEE Trans. on Mobile Comput.

View full text Add to dashboard Cite

In this paper we analyze synthetic mobility traces generated for three-lane unidirectional motorway traffic to find that the locations of vehicles along a lane are better modeled by a hardcore point process instead of the widely-accepted Poisson point process (PPP). In order to capture the repulsion between successive vehicles while maintaining a level of analytical tractability, we make a simple extension to PPP: We model the inter-vehicle distance along a lane equal to the sum of a constant hardcore distance and an exponentially distributed random variable. We calculate the J-function and the Ripley's Kfunction for this hardcore point process. We fit its parameters to the available traces, and we illustrate that the higher the average speed along a lane, the more prominent the hardcore component becomes. In addition, we consider a transmitter-receiver link on the same lane, and we generate simple formulae for the moments of interference under reduced Palm measure for that lane, and without conditioning for other lanes. We illustrate that under Rayleigh fading a shifted-gamma approximation for the distribution of interference per lane provides a very good fit to the simulated outage probability using the synthetic traces, while the fit using the PPP is poor.

show abstract

“…Recently, there have been a few works in which cellular-assisted vehicular networks were considered [22]- [24]. A comprehensive coverage analysis for two different types of users (planar and vehicular users) was provided in [22], where the locations of transmitting vehicular nodes were modeled by the Cox process and the locations of cellular base stations were modeled by 2D PPP. In [24], the authors have attempted to derive the uplink coverage probability for C-V2X communication.…”

Section: A Related Workmentioning

confidence: 99%

Coverage and Rate Analysis of Downlink Cellular Vehicle-to-Everything (C-V2X) Communication

Chetlur

Dhillon

2020

IEEE Trans. Wireless Commun.

View full text Add to dashboard Cite

In this paper, we present the downlink coverage and rate analysis of a cellular vehicle-to-everything (C-V2X) communication network where the locations of vehicular nodes and road side units (RSUs) are modeled as Cox processes driven by a Poisson line process (PLP) and the locations of cellular macro base stations (MBSs) are modeled as a 2D Poisson point process (PPP). Assuming a fixed selection bias and maximum average received power based association, we compute the probability with which a typical receiver, an arbitrarily chosen receiving node, connects to a vehicular node or an RSU and a cellular MBS. For this setup, we derive the signal-to-interference ratio (SIR)-based coverage probability of the typical receiver. One of the key challenges in the computation of coverage probability stems from the inclusion of shadowing effects. As the standard procedure of interpreting the shadowing effects as random displacement of the location of nodes is not directly applicable to the Cox process, we propose an approximation of the spatial model inspired by the asymptotic behavior of the Cox process. Using this asymptotic characterization, we derive the coverage probability in terms of the Laplace transform of interference power distribution. Further, we compute the downlink rate coverage of the typical receiver by characterizing the load on the serving vehicular nodes or RSUs and serving MBSs. We also provide several key design insights by studying the trends in the coverage probability and rate coverage as a function of network parameters. We observe that the improvement in rate coverage obtained by increasing the density of MBSs can be equivalently achieved by tuning the selection bias appropriately without the need to deploy additional MBSs.

show abstract

An Analytical Framework for Coverage in Cellular Networks Leveraging Vehicles

Cited by 74 publications

References 42 publications

Spatial and Temporal Analysis of Direct Communications From Static Devices to Mobile Vehicles

Spatial and Temporal Analysis of Direct Communications From Static Devices to Mobile Vehicles

Outage in Motorway Multi-Lane VANETs With Hardcore Headway Distance Using Synthetic Traces

Coverage and Rate Analysis of Downlink Cellular Vehicle-to-Everything (C-V2X) Communication

Contact Info

Product

Resources

About