plot_functions: Signal strength model plots

In MobilePhoneESSnetBigData/mobvis: Visualization of mobile phone location algorithm results

Signal strength model plots

Description

The radiation_plot plots the radiation in the horizontal (azimuth) or vertical (elevation) plane, the distance_plot the relation between distance and signal loss, and the signal_dominance plots the relation between signal strength and signal dominance, which is modelled as a logistic function. These plots are embedded in the interactive tool setup_sig_strength_model.

Usage

distance_plot(W, ple, range, base_size = 11, show_classes = TRUE)

signal_dominance_plot(midpoint, steepness, base_size = 11, show_classes = TRUE)

radiation_plot(type = "a", beam_width, db_back = -30, base_size = 11)

Arguments

W	power of an cell
ple	path loss exponent
range	range
base_size	base size of the plot
show_classes	show the class colors
midpoint	middle point in the logistic function to map signal strength to probability
steepness	width of the logistic function to map signal strength to probability
type	"a" for azimuth (horizontal) plane and "e" for elevation/vertical plane
beam_width	beam width
db_back	difference in signal strength between the propagation direction of the cell and the opposite direction

See Also

setup_sig_strength_model

Examples

########################
### distance_plot: plot signal strength over distance
########################

# Antenna of 5W, path loss exponent 2, which resembles free space
distance_plot(W = 5, ple = 2, range = 10000, show_classes = TRUE)

# Antenna of 5W, path loss exponent 4, which resembles urban area
distance_plot(W = 5, ple = 5, range = 1000, show_classes = TRUE)



########################
### signal_dominance: plot the relation between signal strength and the signal dominance,
### which is an indicator between 0 and 1 which represents the (modeled) value of connection
########################

# The default parameter values. The colors classes indicate the value of connection: from red
# (no/hardly connectivity, to yellow (fair connectivity) to blue/purple (excellent connectivity).
signal_dominance_plot(midpoint = -92.5, steepness = .2, show_classes = TRUE)

# explore the steepness parameter
gridExtra::grid.arrange(
    {signal_dominance_plot(-90, steepness = .1, show_classes = FALSE)},
    {signal_dominance_plot(-90, steepness = .25, show_classes = FALSE)},
    {signal_dominance_plot(-90, steepness = .5, show_classes = FALSE)},
    {signal_dominance_plot(-90, steepness = 1, show_classes = FALSE)},
    ncol = 1
)

########################
### radiation_plot: plot the relation between signal strength and the signal dominance,
### which is an indicator between 0 and 1 which represents the (modeled) value of connection
########################

# Azimuth plan pattern with a beam width of 64 degrees
# (so -32 and 32 degrees deviation means a signal loss of 3dB, the red dots)
radiation_plot(type = "a", beam_width = 64, db_back = -30)

# Elevation plan pattern with a beam width of 12 degrees
# (so -6 and 6 degrees deviation means a signal loss of 3dB, the red dots)
radiation_plot(type = "e", beam_width = 12, db_back = -30)

MobilePhoneESSnetBigData/mobvis documentation built on Feb. 3, 2024, 2:49 p.m.