## Abstract

In this paper, we focus on ultra-dense network modeling

where both the Base Stations (BSs) and Mobile Terminals

(MTs) are UAVs. In this case, two communication nodes can

be very close to each other. However, existing cellular network

analyses typically use the standard unbounded path loss model

where received power decays like r^beta over a distance r. This

standard model is a good approximation for the path-loss in

wireless communications over large values of r but is not valid

for small values of r due to the singularity at 0. This model is often

used along with a random uniform node distribution, even though

in a group of uniformly distributed nodes some may be arbitrarily

close to one another, thus, it will lose accuracy and may be

not applicable for UAV-to-UAV communications. To tackle this

problem, by using mathematical tool behind stochastic geometry,

we propose tractable analytical frameworks of coverage and rate

based on the novel unbounded path-loss model with a constant

distance factor r_0 for analyzing the UAV-to-UAV communications.

where both the Base Stations (BSs) and Mobile Terminals

(MTs) are UAVs. In this case, two communication nodes can

be very close to each other. However, existing cellular network

analyses typically use the standard unbounded path loss model

where received power decays like r^beta over a distance r. This

standard model is a good approximation for the path-loss in

wireless communications over large values of r but is not valid

for small values of r due to the singularity at 0. This model is often

used along with a random uniform node distribution, even though

in a group of uniformly distributed nodes some may be arbitrarily

close to one another, thus, it will lose accuracy and may be

not applicable for UAV-to-UAV communications. To tackle this

problem, by using mathematical tool behind stochastic geometry,

we propose tractable analytical frameworks of coverage and rate

based on the novel unbounded path-loss model with a constant

distance factor r_0 for analyzing the UAV-to-UAV communications.

Original language | English |
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Title of host publication | ICWMC 2021 : The Seventeenth International Conference on Wireless and Mobile Communications |

Publication date | 2021 |

Publication status | Published - 2021 |