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The simplified model can be used to lower bound message reception probability.
We present a new approximative channel model to determine a vehicle's message reception probability.
In general, line-of-sight is one key for a high message reception probability.
Because of several effects, the message reception probability in multiple sender scenarios is lower than in single sender-receiver scenarios.
The message reception probability depends on the distance between sender and receiver and the relative channel load.
We combine P Nakagami success and P hidden loss as independent effects and calculate the message reception probability P combined success ( d, ρ ) = 1 - P hidden loss ( d, ρ ) · P Nakagami success ( d ).
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Thus, we prefer a more accurate model, i.e., the Nakagami radio propagation model, where the actual message reception probabilities are computed assuming a nominal communication range of 1,000 m and expressed in Equation 8. p ( i, j ) = P μ, μ ω C d i, j − 2 α (8).
Figure 4 Probability of message reception in the Nakagami model and the simplified model in[33].
The link model in the vehicular network may reflect the relationship between the probability of message reception (PMR) and distance.
Under this assumption, it was shown in [3] that the probability of message reception can be analytically derived from the Nakagami model (for completeness, the derivations are given in the appendix) as follows: (1).
This leads to colliding signals on the channel at the receiving node and hence decreases the probability for correct message reception.
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