Source code for hermespy.channel.cluster_delay_line_indoor_office

# -*- coding: utf-8 -*-

from math import log10

from hermespy.core.factory import Serializable
from .cluster_delay_lines import ClusterDelayLineBase

__author__ = "Jan Adler"
__copyright__ = "Copyright 2023, Barkhausen Institut gGmbH"
__credits__ = ["Jan Adler"]
__license__ = "AGPLv3"
__version__ = "1.2.0"
__maintainer__ = "Jan Adler"
__email__ = "jan.adler@barkhauseninstitut.org"
__status__ = "Prototype"


[docs] class IndoorOfficeLineOfSight(ClusterDelayLineBase, Serializable): """3GPP cluster delay line preset modeling an indoor office scenario with direct line of sight between the linked wireless devices. Refer to the :footcite:t:`3GPP:TR38901` for detailed information. The following minimal example outlines how to configure the channel model within the context of a :doc:`simulation.simulation.Simulation`: .. literalinclude:: ../scripts/examples/channel_cdl_indoor_office_los.py :language: python :linenos: :lines: 12-40 """ yaml_tag = "IndoorOfficeLOS" """YAML serialization tag.""" @property def line_of_sight(self) -> bool: return True @property def delay_spread_mean(self) -> float: return -0.01 * log10(1 + self._center_frequency * 1e-9) - 7.692 @property def delay_spread_std(self) -> float: return 0.18 @property def aod_spread_mean(self) -> float: return 1.6 @property def aod_spread_std(self) -> float: return 0.18 @property def aoa_spread_mean(self) -> float: return -0.19 * log10(1 + self._center_frequency * 1e-9) + 1.781 @property def aoa_spread_std(self) -> float: return 0.12 * log10(1 + self._center_frequency * 1e-9) + 0.119 @property def zoa_spread_mean(self) -> float: return -0.26 * log10(1 + self._center_frequency * 1e-9) + 1.44 @property def zoa_spread_std(self) -> float: return -0.04 * log10(1 + self._center_frequency * 1e-9) + 0.264 @property def zod_spread_mean(self) -> float: return -1.43 * log10(1 + self._center_frequency) + 2.228 @property def zod_spread_std(self) -> float: return 0.13 * log10(1 + self._center_frequency) + 0.3 @property def zod_offset(self) -> float: return 0.0 @property def rice_factor_mean(self) -> float: return 7.0 @property def rice_factor_std(self) -> float: return 4.0 @property def delay_scaling(self) -> float: return 3.6 @property def cross_polarization_power_mean(self) -> float: return 11.0 @property def cross_polarization_power_std(self) -> float: return 4.0 @property def num_clusters(self) -> int: return 15 @property def num_rays(self) -> int: return 20 @property def cluster_delay_spread(self) -> float: return 0.0 @property def cluster_aod_spread(self) -> float: return 5.0 @property def cluster_aoa_spread(self) -> float: return 8.0 @property def cluster_zoa_spread(self) -> float: return 9.0 @property def cluster_shadowing_std(self) -> float: return 6.0 @property def _center_frequency(self) -> float: return max(6e9, ClusterDelayLineBase._center_frequency.fget(self)) # type: ignore
[docs] class IndoorOfficeNoLineOfSight(ClusterDelayLineBase, Serializable): """3GPP cluster delay line preset modeling an indoor office scenario without direct line of sight between the linked wireless devices. Refer to the :footcite:t:`3GPP:TR38901` for detailed information. The following minimal example outlines how to configure the channel model within the context of a :doc:`simulation.simulation.Simulation`: .. literalinclude:: ../scripts/examples/channel_cdl_indoor_office_nlos.py :language: python :linenos: :lines: 12-40 """ yaml_tag = "IndoorOfficeNLOS" """YAML serialization tag.""" @property def line_of_sight(self) -> bool: return False @property def delay_spread_mean(self) -> float: return -0.28 * log10(1 + self._center_frequency * 1e-9) - 7.173 @property def delay_spread_std(self) -> float: return 0.1 * log10(1 + self._center_frequency * 1e-9) - 0.055 @property def aod_spread_mean(self) -> float: return 1.62 @property def aod_spread_std(self) -> float: return 0.25 @property def aoa_spread_mean(self) -> float: return -0.11 * log10(1 + self._center_frequency * 1e-9) + 1.863 @property def aoa_spread_std(self) -> float: return 0.12 * log10(1 + self._center_frequency * 1e-9) + 0.119 @property def zoa_spread_mean(self) -> float: return -0.15 * log10(1 + self._center_frequency * 1e-9) + 1.387 @property def zoa_spread_std(self) -> float: return -0.09 * log10(1 + self._center_frequency * 1e-9) + 0.746 @property def zod_spread_mean(self) -> float: return 1.08 @property def zod_spread_std(self) -> float: return 0.36 @property def zod_offset(self) -> float: return 0.0 @property def rice_factor_mean(self) -> float: return 0.0 @property def rice_factor_std(self) -> float: return 0.0 @property def delay_scaling(self) -> float: return 3 @property def cross_polarization_power_mean(self) -> float: return 10.0 @property def cross_polarization_power_std(self) -> float: return 4.0 @property def num_clusters(self) -> int: return 19 @property def num_rays(self) -> int: return 20 @property def cluster_delay_spread(self) -> float: return 0.0 @property def cluster_aod_spread(self) -> float: return 5.0 @property def cluster_aoa_spread(self) -> float: return 11.0 @property def cluster_zoa_spread(self) -> float: return 9.0 @property def cluster_shadowing_std(self) -> float: return 3.0 @property def _center_frequency(self) -> float: return max(6e9, ClusterDelayLineBase._center_frequency.fget(self)) # type: ignore