644 research outputs found
Multi-layer Unmanned Aerial Vehicle Networks: Modeling and Performance Analysis
Since various types of unmanned aerial vehicles (UAVs) with different
hardware capabilities are introduced, we establish a foundation for the
multi-layer aerial network (MAN). First, the MAN is modeled as K layer ANs, and
each layer has UAVs with different densities, floating altitudes, and
transmission power. To make the framework applicable for various scenarios in
MAN, we consider the transmitter- and the receiver-oriented node association
rules as well as the air-to-ground and air-to-air channel models, which form
line of sight links with a location-dependent probability. We then newly
analyze the association probability, the main link distance distribution,
successful transmission probability (STP), and area spectral efficiency (ASE)
of MAN. The upper bounds of the optimal densities that maximize STP and ASE are
also provided. Finally, in the numerical results, we show the optimal UAV
densities of an AN that maximize the ASE and the STP decrease with the altitude
of the network. We also show that when the total UAV density is fixed for two
layer AN, the use of single layer in higher(lower) altitude only for all UAVs
can achieve better performance for low(high) total density case, otherwise,
distributing UAVs in two layers, i.e., MAN, achieves better performance
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