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Bounded Path-Loss Model for UAV-to-UAV Communications

Authors:
Jian Song
Xuesong Cai
Lam-Thanh Tu
Preben E. Mogensen

Keywords: Cellular Networks, UAV, Stochastic Geometry, Bounded Path-Loss Model

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.

Pages: 20 to 21

Copyright: Copyright (c) IARIA, 2021

Publication date: July 18, 2021

Published in: conference

ISSN: 2308-4219

ISBN: 978-1-61208-878-5

Location: Nice, France

Dates: from July 18, 2021 to July 22, 2021