33,129 research outputs found
Power line communication channel modeling for in-vehicle applications
This paper addresses the problem of generating an accurate power line communication channel model for in-vehicle applications. The proposed modeling methodology is based on a state-of-the-art behavioral representation based on the multipath propagation of signals in a possibly complicated interconnected power structure. The procedure for the computation of model parameters is thoroughly discussed. The effectiveness of the approach has been demonstrated on a set of real measurements carried out on a commercial automobil
A Measurement Based Shadow Fading Model for Vehicle-to-Vehicle Network Simulations
The vehicle-to-vehicle (V2V) propagation channel has significant implications
on the design and performance of novel communication protocols for vehicular ad
hoc networks (VANETs). Extensive research efforts have been made to develop V2V
channel models to be implemented in advanced VANET system simulators for
performance evaluation. The impact of shadowing caused by other vehicles has,
however, largely been neglected in most of the models, as well as in the system
simulations. In this paper we present a shadow fading model targeting system
simulations based on real measurements performed in urban and highway
scenarios. The measurement data is separated into three categories,
line-of-sight (LOS), obstructed line-of-sight (OLOS) by vehicles, and non
line-of-sight due to buildings, with the help of video information recorded
during the measurements. It is observed that vehicles obstructing the LOS
induce an additional average attenuation of about 10 dB in the received signal
power. An approach to incorporate the LOS/OLOS model into existing VANET
simulators is also provided. Finally, system level VANET simulation results are
presented, showing the difference between the LOS/OLOS model and a channel
model based on Nakagami-m fading.Comment: 10 pages, 12 figures, submitted to Hindawi International Journal of
Antennas and Propagatio
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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