Characterization of V2V Coverage in a Network of Roads Modeled as Poisson Line Process

Characterization of V2V Coverage in a Network of Roads Modeled as Poisson Line Process
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DOI:
10.1109/icc.2018.8422582
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发表时间:
2018-05
期刊:
2018 IEEE International Conference on Communications (ICC)
影响因子:
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通讯作者:
Vishnu Vardhan Chetlur Ravi;Sayantan Guha;Harpreet S. Dhillon
Vishnu Vardhan Chetlur Ravi;Sayantan Guha;Harpreet S. Dhillon
中科院分区:
其他
文献类型:
--
作者:
Vishnu Vardhan Chetlur Ravi;Sayantan Guha;Harpreet S. Dhillon

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In this paper, we study the coverage performance of vehicle-to-vehicle (V2V) communication using tools from stochastic geometry. In particular, we model the layout of roads using a Poisson line process (PLP) and the locations of vehicular nodes on each line as a 1D Poisson point process (PPP). In this Cox process of vehicular nodes, we analyze the performance of a typical receiver. In particular, assuming that the transmitting nodes employ beamforming to maximize signal power along their own roads, we first determine the probability with which the typical receiver connects to a node on the same road under a maximum average power based association scheme, using which we characterize the signal-to-interference ratio (SIR) based coverage performance under Nakagami-m fading. Key intermediate steps involve deriving the distribution of the distance between the typical receiver and the serving node (to characterize the desired signal power) and the distribution of the number of lines conditioned on the serving node (to characterize interference). Using these results, we derive an exact expression for coverage probability in terms of Laplace transform of the distribution of interference power. Our analysis reveals useful trends in coverage probability as a function of key network parameters, namely, line density and node density.