Index

A

add_event() (pytwinnet.simulation.Scenario method), [1], [2] (pytwinnet.simulation.scenario.Scenario method) add_node() (pytwinnet.core.Network method), [1], [2] (pytwinnet.core.network.Network method), [1], [2] (pytwinnet.Network method) additional (pytwinnet.core.node.TransceiverProperties attribute), [1], [2] (pytwinnet.core.TransceiverProperties attribute), [1], [2] (pytwinnet.TransceiverProperties attribute) antenna_gain_dbi (pytwinnet.core.node.TransceiverProperties attribute), [1], [2] (pytwinnet.core.transceiver.Transceiver attribute) (pytwinnet.core.TransceiverProperties attribute), [1], [2] (pytwinnet.TransceiverProperties attribute)

apply() (pytwinnet.simulation.Event method), [1], [2] (pytwinnet.simulation.events.Event method) (pytwinnet.simulation.events.MoveNodeEvent method) (pytwinnet.simulation.events.TrafficGenerationEvent method) (pytwinnet.simulation.MoveNodeEvent method), [1], [2] (pytwinnet.simulation.TrafficGenerationEvent method), [1], [2] apply_scenario() (in module pytwinnet.cli.main) arrivals() (pytwinnet.traffic.poisson.PoissonTraffic method) (pytwinnet.traffic.PoissonTraffic method), [1], [2] ask() (pytwinnet.optimization.bayesopt.SimpleBayesOpt method) avg_throughput_bps (pytwinnet.optimization.objective_ext.ProportionalFairObjective attribute)

B

bandwidth_hz (pytwinnet.optimization.objective_ext.CoveragePercentileObjective attribute) (pytwinnet.optimization.objective_ext.EnergyEfficiencyObjective attribute) base (pytwinnet.physics.FadedModel attribute), [1], [2] (pytwinnet.physics.fading.FadedModel attribute) (pytwinnet.physics.fading.ShadowedModel attribute) (pytwinnet.physics.ShadowedModel attribute), [1], [2]

bounds (pytwinnet.optimization.bayesopt.SimpleBayesOpt attribute) (pytwinnet.optimization.placement.PlacementRandomSearchOptimizer attribute) build_twin() (in module pytwinnet.cli.main)

C

calculate_noise_power() (in module pytwinnet.physics), [1], [2] (in module pytwinnet.physics.signal) calculate_path_loss() (pytwinnet.physics.FadedModel method), [1], [2] (pytwinnet.physics.fading.FadedModel method) (pytwinnet.physics.fading.ShadowedModel method) (pytwinnet.physics.FreeSpacePathLoss method), [1], [2] (pytwinnet.physics.propagation.FreeSpacePathLoss method) (pytwinnet.physics.propagation.PropagationModel method) (pytwinnet.physics.PropagationModel method), [1], [2] (pytwinnet.physics.ris.RISAugmentedModel method) (pytwinnet.physics.ris_beam.RISBeamModel method) (pytwinnet.physics.RISAugmentedModel method), [1], [2] (pytwinnet.physics.RISBeamModel method), [1], [2] (pytwinnet.physics.ShadowedModel method), [1], [2] calculate_sinr_db() (in module pytwinnet.physics), [1], [2] (in module pytwinnet.physics.signal) carrier_frequency_hz (pytwinnet.core.node.TransceiverProperties attribute), [1], [2] (pytwinnet.core.TransceiverProperties attribute), [1], [2] (pytwinnet.TransceiverProperties attribute)

ChannelAllocationGA (class in pytwinnet.optimization.ga) channels (pytwinnet.optimization.ga.ChannelAllocationGA attribute) connect() (pytwinnet.ingestion.base.DataSource method) (pytwinnet.ingestion.csv_adapter.CSVPositionDataSource method) (pytwinnet.ingestion.DataSource method), [1], [2] (pytwinnet.ingestion.mock.MockDataSource method) (pytwinnet.ingestion.MockDataSource method), [1], [2] ConstantVelocity (class in pytwinnet.mobility), [1], [2] (class in pytwinnet.mobility.constant_velocity) ConstantVelocityMobility (class in pytwinnet.mobility.constant_velocity) copy_twin (pytwinnet.optimization.grid_search.GridSearchOptimizer attribute) (pytwinnet.optimization.GridSearchOptimizer attribute), [1], [2] (pytwinnet.optimization.placement.PlacementGridOptimizer attribute) (pytwinnet.optimization.placement.PlacementRandomSearchOptimizer attribute) (pytwinnet.optimization.random_search.RandomSearchOptimizer attribute) (pytwinnet.optimization.RandomSearchOptimizer attribute), [1], [2] CoveragePercentileObjective (class in pytwinnet.optimization.objective_ext) CSVPositionDataSource (class in pytwinnet.ingestion.csv_adapter)

D

data_rate_mbps (pytwinnet.simulation.events.TrafficGenerationEvent attribute) (pytwinnet.simulation.TrafficGenerationEvent attribute), [1], [2] DataSource (class in pytwinnet.ingestion), [1], [2] (class in pytwinnet.ingestion.base) db_to_linear() (in module pytwinnet.physics.link_budget) dest_node (pytwinnet.simulation.events.TrafficGenerationEvent attribute) (pytwinnet.simulation.TrafficGenerationEvent attribute), [1], [2]

DigitalTwin (class in pytwinnet) (class in pytwinnet.core), [1], [2] (class in pytwinnet.core.digital_twin), [1], [2] dimensions_m (pytwinnet.physics.Environment attribute), [1], [2] (pytwinnet.physics.environment.Environment attribute) duration_s (pytwinnet.simulation.Scenario attribute), [1], [2] (pytwinnet.simulation.scenario.Scenario attribute)

E

efficiency (pytwinnet.optimization.objective_ext.EnergyEfficiencyObjective attribute) (pytwinnet.optimization.objective_ext.ProportionalFairObjective attribute) element_count (pytwinnet.physics.ris_beam.SmartRISPanel attribute) (pytwinnet.physics.SmartRISPanel attribute), [1], [2] EnergyEfficiencyObjective (class in pytwinnet.optimization.objective_ext) env (pytwinnet.mobility.random_waypoint.RandomWaypoint attribute) (pytwinnet.mobility.RandomWaypoint attribute), [1], [2] Environment (class in pytwinnet.physics), [1], [2] (class in pytwinnet.physics.environment) environment (pytwinnet.core.digital_twin.DigitalTwin attribute), [1], [2] (pytwinnet.core.DigitalTwin attribute), [1], [2] (pytwinnet.DigitalTwin attribute) epoch (pytwinnet.physics.FadedModel attribute), [1], [2] (pytwinnet.physics.fading.FadedModel attribute) (pytwinnet.physics.fading.ShadowedModel attribute) (pytwinnet.physics.ShadowedModel attribute), [1], [2]

evaluate (pytwinnet.optimization.pareto.MultiObjectiveSampler attribute) evaluate() (pytwinnet.optimization.MaximizeThroughput method), [1], [2] (pytwinnet.optimization.MinimizePowerConsumption method), [1], [2] (pytwinnet.optimization.Objective method), [1], [2] (pytwinnet.optimization.objective.MaximizeThroughput method) (pytwinnet.optimization.objective.MinimizePowerConsumption method) (pytwinnet.optimization.objective.Objective method) (pytwinnet.optimization.objective.SumThroughputObjective method) (pytwinnet.optimization.objective_ext.CoveragePercentileObjective method) (pytwinnet.optimization.objective_ext.EnergyEfficiencyObjective method) (pytwinnet.optimization.objective_ext.ProportionalFairObjective method) (pytwinnet.optimization.SumThroughputObjective method), [1], [2] Event (class in pytwinnet.simulation), [1], [2] (class in pytwinnet.simulation.events) events (pytwinnet.simulation.Scenario attribute), [1], [2] (pytwinnet.simulation.scenario.Scenario attribute)

F

faded_shadowed_model() (pytwinnet.physics.FreeSpacePathLoss method), [1], [2] (pytwinnet.physics.propagation.FreeSpacePathLoss method) FadedModel (class in pytwinnet.physics), [1], [2] (class in pytwinnet.physics.fading) fixed_z (pytwinnet.optimization.placement.PlacementGridOptimizer attribute) (pytwinnet.optimization.placement.PlacementRandomSearchOptimizer attribute) (pytwinnet.optimization.placement_parallel.ParallelPlacementGrid attribute)

FreeSpacePathLoss (class in pytwinnet.physics), [1], [2] (class in pytwinnet.physics.propagation) frequency_ghz (pytwinnet.core.transceiver.Transceiver attribute) fspl_matrix_db() (in module pytwinnet.accelerate) (in module pytwinnet.accelerate.vectorized) fspl_matrix_db_numba() (in module pytwinnet.accelerate.numba_kernels)

G

gain_db (pytwinnet.physics.ris.RISPanel attribute) (pytwinnet.physics.RISPanel attribute), [1], [2] generations (pytwinnet.optimization.ga.ChannelAllocationGA attribute) get_node_by_id() (pytwinnet.core.Network method), [1], [2] (pytwinnet.core.network.Network method), [1], [2] (pytwinnet.Network method)

grid_x (pytwinnet.optimization.placement.PlacementGridOptimizer attribute) (pytwinnet.optimization.placement_parallel.ParallelPlacementGrid attribute) grid_y (pytwinnet.optimization.placement.PlacementGridOptimizer attribute) (pytwinnet.optimization.placement_parallel.ParallelPlacementGrid attribute) GridSearchOptimizer (class in pytwinnet.optimization), [1], [2] (class in pytwinnet.optimization.grid_search)

H

HandoverController (class in pytwinnet.handover) (class in pytwinnet.handover.rules)

hysteresis_db (pytwinnet.handover.HandoverController attribute) (pytwinnet.handover.rules.HandoverController attribute)

I

init_points (pytwinnet.optimization.bayesopt.SimpleBayesOpt attribute) is_within_bounds() (pytwinnet.physics.Environment method), [1], [2] (pytwinnet.physics.environment.Environment method)

iterations (pytwinnet.optimization.simple_greedy.SimpleGreedyOptimizer attribute) (pytwinnet.optimization.SimpleGreedyOptimizer attribute), [1], [2] iters (pytwinnet.optimization.bayesopt.SimpleBayesOpt attribute)

K

K_dB (pytwinnet.physics.FadedModel attribute), [1], [2] (pytwinnet.physics.fading.FadedModel attribute) kind (pytwinnet.physics.FadedModel attribute), [1], [2] (pytwinnet.physics.fading.FadedModel attribute)

kpis() (pytwinnet.handover.HandoverController method) (pytwinnet.handover.rules.HandoverController method)

L

lengthscale (pytwinnet.optimization.bayesopt.SimpleBayesOpt attribute) linear_to_db() (in module pytwinnet.physics.link_budget) list_gnbs() (in module pytwinnet.core), [1], [2] (in module pytwinnet.core.utils)

list_nodes() (pytwinnet.core.Network method), [1], [2] (pytwinnet.core.network.Network method), [1], [2] (pytwinnet.Network method) log_event() (pytwinnet.handover.HandoverController method) (pytwinnet.handover.rules.HandoverController method)

M

main() (in module pytwinnet.cli.main) (in module pytwinnet.dashboard.streamlit_app) mainlobe_gain_db (pytwinnet.physics.ris_beam.SmartRISPanel attribute) (pytwinnet.physics.SmartRISPanel attribute), [1], [2] matched_filter_tx() (in module pytwinnet.mimo) (in module pytwinnet.mimo.channel) max_power_dbm (pytwinnet.optimization.simple_greedy.SimpleGreedyOptimizer attribute) (pytwinnet.optimization.SimpleGreedyOptimizer attribute), [1], [2] max_rsrp_association() (in module pytwinnet.scheduling) (in module pytwinnet.scheduling.association) max_rsrp_association_vectorized() (in module pytwinnet.accelerate) (in module pytwinnet.accelerate.association) max_sinr_association() (in module pytwinnet.scheduling.max_sinr) max_workers (pytwinnet.optimization.placement_parallel.ParallelPlacementGrid attribute) MaximizeThroughput (class in pytwinnet.optimization), [1], [2] (class in pytwinnet.optimization.objective) maybe_heatmap() (in module pytwinnet.cli.main) meta (pytwinnet.core.transceiver.Transceiver attribute) metadata (pytwinnet.core.node.WirelessNode attribute), [1], [2] (pytwinnet.core.WirelessNode attribute), [1], [2] (pytwinnet.rl.power_env.PowerControlEnv attribute) (pytwinnet.rl.PowerControlEnv attribute) (pytwinnet.WirelessNode attribute) mimo_rayleigh() (in module pytwinnet.mimo) (in module pytwinnet.mimo.channel) MinimizePowerConsumption (class in pytwinnet.optimization), [1], [2] (class in pytwinnet.optimization.objective) mobility_model (pytwinnet.core.node.WirelessNode attribute), [1], [2] (pytwinnet.core.WirelessNode attribute), [1], [2] (pytwinnet.WirelessNode attribute) MockDataSource (class in pytwinnet.ingestion), [1], [2] (class in pytwinnet.ingestion.mock) MockNodeUpdate (class in pytwinnet.ingestion), [1], [2] (class in pytwinnet.ingestion.mock) module pytwinnet pytwinnet.accelerate pytwinnet.accelerate.association pytwinnet.accelerate.numba_kernels pytwinnet.accelerate.vectorized pytwinnet.cli pytwinnet.cli.main pytwinnet.core, [1], [2] pytwinnet.core.digital_twin, [1], [2] pytwinnet.core.network, [1], [2] pytwinnet.core.node, [1], [2] pytwinnet.core.transceiver pytwinnet.core.utils pytwinnet.dashboard pytwinnet.dashboard.streamlit_app pytwinnet.handover pytwinnet.handover.rules pytwinnet.ingestion, [1], [2] pytwinnet.ingestion.base pytwinnet.ingestion.csv_adapter pytwinnet.ingestion.mock pytwinnet.ingestion.realtime pytwinnet.mimo pytwinnet.mimo.channel pytwinnet.mobility, [1], [2] pytwinnet.mobility.constant_velocity pytwinnet.mobility.random_waypoint pytwinnet.optimization, [1], [2] pytwinnet.optimization.bayesopt pytwinnet.optimization.ga pytwinnet.optimization.grid_search pytwinnet.optimization.objective pytwinnet.optimization.objective_ext pytwinnet.optimization.optimizer pytwinnet.optimization.pareto pytwinnet.optimization.placement pytwinnet.optimization.placement_parallel pytwinnet.optimization.random_search pytwinnet.optimization.simple_greedy pytwinnet.physics, [1], [2] pytwinnet.physics.batch pytwinnet.physics.environment pytwinnet.physics.fading pytwinnet.physics.link_budget pytwinnet.physics.propagation pytwinnet.physics.ris pytwinnet.physics.ris_beam pytwinnet.physics.signal pytwinnet.ris pytwinnet.ris.beamforming pytwinnet.rl pytwinnet.rl.power_env pytwinnet.scheduling pytwinnet.scheduling.association pytwinnet.scheduling.max_sinr pytwinnet.scheduling.pf_scheduler pytwinnet.scheduling.rr pytwinnet.simulation, [1], [2] pytwinnet.simulation.events pytwinnet.simulation.scenario pytwinnet.simulation.simulator pytwinnet.traffic, [1], [2] pytwinnet.traffic.poisson pytwinnet.visualization, [1], [2] pytwinnet.visualization.heatmap pytwinnet.visualization.heatmap_fast pytwinnet.visualization.topology

move_to() (pytwinnet.core.node.WirelessNode method), [1], [2] (pytwinnet.core.WirelessNode method), [1], [2] (pytwinnet.WirelessNode method) MoveNodeEvent (class in pytwinnet.simulation), [1], [2] (class in pytwinnet.simulation.events) MultiObjectiveSampler (class in pytwinnet.optimization.pareto) mutation_p (pytwinnet.optimization.ga.ChannelAllocationGA attribute)

N

Network (class in pytwinnet) (class in pytwinnet.core), [1], [2] (class in pytwinnet.core.network), [1], [2] network (pytwinnet.core.digital_twin.DigitalTwin attribute), [1], [2] (pytwinnet.core.DigitalTwin attribute), [1], [2] (pytwinnet.DigitalTwin attribute) new_position (pytwinnet.ingestion.mock.MockNodeUpdate attribute) (pytwinnet.ingestion.MockNodeUpdate attribute), [1], [2] (pytwinnet.simulation.events.MoveNodeEvent attribute) (pytwinnet.simulation.MoveNodeEvent attribute), [1], [2] Node (in module pytwinnet.core.node), [1], [2] node_id (pytwinnet.core.node.WirelessNode attribute), [1], [2] (pytwinnet.core.WirelessNode attribute), [1], [2] (pytwinnet.ingestion.mock.MockNodeUpdate attribute) (pytwinnet.ingestion.MockNodeUpdate attribute), [1], [2] (pytwinnet.simulation.events.MoveNodeEvent attribute) (pytwinnet.simulation.MoveNodeEvent attribute), [1], [2] (pytwinnet.WirelessNode attribute)

nodes (pytwinnet.core.Network attribute), [1], [2] (pytwinnet.core.network.Network attribute), [1], [2] (pytwinnet.Network attribute) noise (pytwinnet.optimization.bayesopt.SimpleBayesOpt attribute) noise_dbm_vector() (in module pytwinnet.accelerate) (in module pytwinnet.accelerate.vectorized) noise_figure_db (pytwinnet.optimization.objective_ext.CoveragePercentileObjective attribute) (pytwinnet.optimization.objective_ext.EnergyEfficiencyObjective attribute) (pytwinnet.optimization.objective_ext.ProportionalFairObjective attribute) noise_power_dbm() (in module pytwinnet.physics), [1], [2] (in module pytwinnet.physics.link_budget)

O

Objective (class in pytwinnet.optimization), [1], [2] (class in pytwinnet.optimization.objective) obstacles (pytwinnet.physics.Environment attribute), [1], [2] (pytwinnet.physics.environment.Environment attribute) on_applied (pytwinnet.ingestion.realtime.RealTimeMonitor attribute) (pytwinnet.ingestion.RealTimeMonitor attribute), [1], [2] optimize() (pytwinnet.optimization.ga.ChannelAllocationGA method) (pytwinnet.optimization.grid_search.GridSearchOptimizer method) (pytwinnet.optimization.GridSearchOptimizer method), [1], [2] (pytwinnet.optimization.Optimizer method), [1], [2] (pytwinnet.optimization.optimizer.Optimizer method) (pytwinnet.optimization.placement.PlacementGridOptimizer method) (pytwinnet.optimization.placement.PlacementRandomSearchOptimizer method) (pytwinnet.optimization.placement_parallel.ParallelPlacementGrid method) (pytwinnet.optimization.random_search.RandomSearchOptimizer method) (pytwinnet.optimization.RandomSearchOptimizer method), [1], [2] (pytwinnet.optimization.simple_greedy.SimpleGreedyOptimizer method) (pytwinnet.optimization.SimpleGreedyOptimizer method), [1], [2]

Optimizer (class in pytwinnet.optimization), [1], [2] (class in pytwinnet.optimization.optimizer)

P

ParallelPlacementGrid (class in pytwinnet.optimization.placement_parallel) param_grid (pytwinnet.optimization.grid_search.GridSearchOptimizer attribute) (pytwinnet.optimization.GridSearchOptimizer attribute), [1], [2] path (pytwinnet.ingestion.csv_adapter.CSVPositionDataSource attribute) path_loss_matrix() (in module pytwinnet.physics.batch) pause_time_s (pytwinnet.mobility.random_waypoint.RandomWaypoint attribute) (pytwinnet.mobility.RandomWaypoint attribute), [1], [2] percentile (pytwinnet.optimization.objective_ext.CoveragePercentileObjective attribute) phase_opt_greedy() (in module pytwinnet.ris) (in module pytwinnet.ris.beamforming) PlacementGridOptimizer (class in pytwinnet.optimization.placement) PlacementRandomSearchOptimizer (class in pytwinnet.optimization.placement) plot_topology() (in module pytwinnet.visualization), [1], [2] (in module pytwinnet.visualization.topology) PoissonTraffic (class in pytwinnet.traffic), [1], [2] (class in pytwinnet.traffic.poisson) poll_once() (pytwinnet.ingestion.realtime.RealTimeMonitor method) (pytwinnet.ingestion.RealTimeMonitor method), [1], [2] population (pytwinnet.optimization.ga.ChannelAllocationGA attribute) position (pytwinnet.core.node.WirelessNode attribute), [1], [2] (pytwinnet.core.WirelessNode attribute), [1], [2] (pytwinnet.physics.ris.RISPanel attribute) (pytwinnet.physics.ris_beam.SmartRISPanel attribute) (pytwinnet.physics.RISPanel attribute), [1], [2] (pytwinnet.physics.SmartRISPanel attribute), [1], [2] (pytwinnet.WirelessNode attribute) power_penalty (pytwinnet.optimization.objective_ext.EnergyEfficiencyObjective attribute) PowerControlEnv (class in pytwinnet.rl) (class in pytwinnet.rl.power_env) propagation_model (pytwinnet.core.digital_twin.DigitalTwin attribute), [1], [2] (pytwinnet.core.DigitalTwin attribute), [1], [2] (pytwinnet.DigitalTwin attribute) PropagationModel (class in pytwinnet.physics), [1], [2] (class in pytwinnet.physics.propagation) proportional_fair_allocation() (in module pytwinnet.scheduling) (in module pytwinnet.scheduling.pf_scheduler) ProportionalFairObjective (class in pytwinnet.optimization.objective_ext) pytwinnet module pytwinnet.accelerate module pytwinnet.accelerate.association module pytwinnet.accelerate.numba_kernels module pytwinnet.accelerate.vectorized module pytwinnet.cli module pytwinnet.cli.main module pytwinnet.core module, [1], [2] pytwinnet.core.digital_twin module, [1], [2] pytwinnet.core.network module, [1], [2] pytwinnet.core.node module, [1], [2] pytwinnet.core.transceiver module pytwinnet.core.utils module pytwinnet.dashboard module pytwinnet.dashboard.streamlit_app module pytwinnet.handover module pytwinnet.handover.rules module pytwinnet.ingestion module, [1], [2] pytwinnet.ingestion.base module pytwinnet.ingestion.csv_adapter module pytwinnet.ingestion.mock module pytwinnet.ingestion.realtime module pytwinnet.mimo module pytwinnet.mimo.channel module

pytwinnet.mobility module, [1], [2] pytwinnet.mobility.constant_velocity module pytwinnet.mobility.random_waypoint module pytwinnet.optimization module, [1], [2] pytwinnet.optimization.bayesopt module pytwinnet.optimization.ga module pytwinnet.optimization.grid_search module pytwinnet.optimization.objective module pytwinnet.optimization.objective_ext module pytwinnet.optimization.optimizer module pytwinnet.optimization.pareto module pytwinnet.optimization.placement module pytwinnet.optimization.placement_parallel module pytwinnet.optimization.random_search module pytwinnet.optimization.simple_greedy module pytwinnet.physics module, [1], [2] pytwinnet.physics.batch module pytwinnet.physics.environment module pytwinnet.physics.fading module pytwinnet.physics.link_budget module pytwinnet.physics.propagation module pytwinnet.physics.ris module pytwinnet.physics.ris_beam module pytwinnet.physics.signal module pytwinnet.ris module pytwinnet.ris.beamforming module pytwinnet.rl module pytwinnet.rl.power_env module pytwinnet.scheduling module pytwinnet.scheduling.association module pytwinnet.scheduling.max_sinr module pytwinnet.scheduling.pf_scheduler module pytwinnet.scheduling.rr module pytwinnet.simulation module, [1], [2] pytwinnet.simulation.events module pytwinnet.simulation.scenario module pytwinnet.simulation.simulator module pytwinnet.traffic module, [1], [2] pytwinnet.traffic.poisson module pytwinnet.visualization module, [1], [2] pytwinnet.visualization.heatmap module pytwinnet.visualization.heatmap_fast module pytwinnet.visualization.topology module

R

randomize() (pytwinnet.ris.beamforming.RISPanel method) (pytwinnet.ris.RISPanel method) RandomSearchOptimizer (class in pytwinnet.optimization), [1], [2] (class in pytwinnet.optimization.random_search) RandomWaypoint (class in pytwinnet.mobility), [1], [2] (class in pytwinnet.mobility.random_waypoint) RandomWaypointMobility (class in pytwinnet.mobility.random_waypoint) ranges_dbm (pytwinnet.optimization.random_search.RandomSearchOptimizer attribute) (pytwinnet.optimization.RandomSearchOptimizer attribute), [1], [2] rate_lambda (pytwinnet.traffic.poisson.PoissonTraffic attribute) (pytwinnet.traffic.PoissonTraffic attribute), [1], [2] rb_bandwidth_hz (pytwinnet.optimization.objective_ext.ProportionalFairObjective attribute) rbf_kernel() (in module pytwinnet.optimization.bayesopt) read_data() (pytwinnet.ingestion.base.DataSource method) (pytwinnet.ingestion.csv_adapter.CSVPositionDataSource method) (pytwinnet.ingestion.DataSource method), [1], [2] (pytwinnet.ingestion.mock.MockDataSource method) (pytwinnet.ingestion.MockDataSource method), [1], [2] RealTimeMonitor (class in pytwinnet.ingestion), [1], [2] (class in pytwinnet.ingestion.realtime) remove_node() (pytwinnet.core.Network method), [1], [2] (pytwinnet.core.network.Network method), [1], [2] (pytwinnet.Network method) ReplayMonitor (class in pytwinnet.ingestion.csv_adapter) reset() (pytwinnet.rl.power_env.PowerControlEnv method) (pytwinnet.rl.PowerControlEnv method)

reset_logs() (pytwinnet.handover.HandoverController method) (pytwinnet.handover.rules.HandoverController method) ris_link_gain() (in module pytwinnet.ris) (in module pytwinnet.ris.beamforming) RISAugmentedModel (class in pytwinnet.physics), [1], [2] (class in pytwinnet.physics.ris) RISBeamModel (class in pytwinnet.physics), [1], [2] (class in pytwinnet.physics.ris_beam) RISPanel (class in pytwinnet.physics), [1], [2] (class in pytwinnet.physics.ris) (class in pytwinnet.ris) (class in pytwinnet.ris.beamforming) rmse() (in module pytwinnet.ingestion.csv_adapter) round_robin_schedule() (in module pytwinnet.scheduling.rr) rsrp_matrix_dbm() (in module pytwinnet.accelerate) (in module pytwinnet.accelerate.vectorized) run() (pytwinnet.ingestion.csv_adapter.ReplayMonitor method) (pytwinnet.optimization.bayesopt.SimpleBayesOpt method) (pytwinnet.optimization.pareto.MultiObjectiveSampler method) (pytwinnet.simulation.Simulator method), [1], [2] (pytwinnet.simulation.simulator.Simulator method) run_optimizer() (in module pytwinnet.cli.main) rx_noise_figure_db (pytwinnet.core.transceiver.Transceiver attribute) rx_power_dbm() (in module pytwinnet.physics), [1], [2] (in module pytwinnet.physics.link_budget)

S

sampler (pytwinnet.optimization.pareto.MultiObjectiveSampler attribute) samples (pytwinnet.optimization.pareto.MultiObjectiveSampler attribute) (pytwinnet.optimization.placement.PlacementRandomSearchOptimizer attribute) (pytwinnet.optimization.random_search.RandomSearchOptimizer attribute) (pytwinnet.optimization.RandomSearchOptimizer attribute), [1], [2] Scenario (class in pytwinnet.simulation), [1], [2] (class in pytwinnet.simulation.scenario) seed (pytwinnet.mobility.random_waypoint.RandomWaypoint attribute) (pytwinnet.mobility.RandomWaypoint attribute), [1], [2] (pytwinnet.optimization.bayesopt.SimpleBayesOpt attribute) (pytwinnet.optimization.ga.ChannelAllocationGA attribute) (pytwinnet.optimization.placement.PlacementRandomSearchOptimizer attribute) (pytwinnet.optimization.random_search.RandomSearchOptimizer attribute) (pytwinnet.optimization.RandomSearchOptimizer attribute), [1], [2] (pytwinnet.physics.FadedModel attribute), [1], [2] (pytwinnet.physics.fading.FadedModel attribute) (pytwinnet.physics.fading.ShadowedModel attribute) (pytwinnet.physics.ShadowedModel attribute), [1], [2] (pytwinnet.traffic.poisson.PoissonTraffic attribute) (pytwinnet.traffic.PoissonTraffic attribute), [1], [2] set_beam() (pytwinnet.physics.ris_beam.RISBeamModel method) (pytwinnet.physics.RISBeamModel method), [1], [2] set_environment() (pytwinnet.core.digital_twin.DigitalTwin method), [1], [2] (pytwinnet.core.DigitalTwin method), [1], [2] (pytwinnet.DigitalTwin method) set_epoch() (pytwinnet.physics.FadedModel method), [1], [2] (pytwinnet.physics.fading.FadedModel method) (pytwinnet.physics.fading.ShadowedModel method) (pytwinnet.physics.ShadowedModel method), [1], [2] set_phases() (pytwinnet.ris.beamforming.RISPanel method) (pytwinnet.ris.RISPanel method) set_propagation_model() (pytwinnet.core.digital_twin.DigitalTwin method), [1], [2] (pytwinnet.core.DigitalTwin method), [1], [2] (pytwinnet.DigitalTwin method) ShadowedModel (class in pytwinnet.physics), [1], [2] (class in pytwinnet.physics.fading) shannon_capacity() (in module pytwinnet.physics), [1], [2] (in module pytwinnet.physics.signal) shannon_throughput_bps() (in module pytwinnet.physics), [1], [2] (in module pytwinnet.physics.link_budget) shannon_throughput_bps_vector() (in module pytwinnet.accelerate) (in module pytwinnet.accelerate.vectorized)

sidelobe_gain_db (pytwinnet.physics.ris_beam.SmartRISPanel attribute) (pytwinnet.physics.SmartRISPanel attribute), [1], [2] sigma_db (pytwinnet.physics.fading.ShadowedModel attribute) (pytwinnet.physics.ShadowedModel attribute), [1], [2] SimpleBayesOpt (class in pytwinnet.optimization.bayesopt) SimpleGreedyOptimizer (class in pytwinnet.optimization), [1], [2] (class in pytwinnet.optimization.simple_greedy) Simulator (class in pytwinnet.simulation), [1], [2] (class in pytwinnet.simulation.simulator) sinr_db() (in module pytwinnet.physics), [1], [2] (in module pytwinnet.physics.link_budget) sinr_db_from_rsrp_matrix() (in module pytwinnet.accelerate) (in module pytwinnet.accelerate.vectorized) sinr_db_from_rsrp_matrix_numba() (in module pytwinnet.accelerate.numba_kernels) sinr_heatmap_2d() (in module pytwinnet.visualization), [1], [2] (in module pytwinnet.visualization.heatmap) sinr_heatmap_2d_fast() (in module pytwinnet.visualization.heatmap_fast) SmartRISPanel (class in pytwinnet.physics), [1], [2] (class in pytwinnet.physics.ris_beam) snapshot() (pytwinnet.core.digital_twin.DigitalTwin method), [1], [2] (pytwinnet.core.DigitalTwin method), [1], [2] (pytwinnet.DigitalTwin method) sorted_events() (pytwinnet.simulation.Scenario method), [1], [2] (pytwinnet.simulation.scenario.Scenario method) source (pytwinnet.ingestion.realtime.RealTimeMonitor attribute) (pytwinnet.ingestion.RealTimeMonitor attribute), [1], [2] source_node (pytwinnet.simulation.events.TrafficGenerationEvent attribute) (pytwinnet.simulation.TrafficGenerationEvent attribute), [1], [2] speed_range_mps (pytwinnet.mobility.random_waypoint.RandomWaypoint attribute) (pytwinnet.mobility.RandomWaypoint attribute), [1], [2] start_time (pytwinnet.mobility.constant_velocity.ConstantVelocity attribute) (pytwinnet.mobility.ConstantVelocity attribute), [1], [2] step() (pytwinnet.handover.HandoverController method) (pytwinnet.handover.rules.HandoverController method) (pytwinnet.rl.power_env.PowerControlEnv method) (pytwinnet.rl.PowerControlEnv method) step_db (pytwinnet.optimization.simple_greedy.SimpleGreedyOptimizer attribute) (pytwinnet.optimization.SimpleGreedyOptimizer attribute), [1], [2] step_logged() (pytwinnet.handover.HandoverController method) (pytwinnet.handover.rules.HandoverController method) suggest() (pytwinnet.optimization.bayesopt.SimpleBayesOpt method) SumThroughputObjective (class in pytwinnet.optimization), [1], [2] (class in pytwinnet.optimization.objective)

T

tell() (pytwinnet.optimization.bayesopt.SimpleBayesOpt method) time_to_trigger_s (pytwinnet.handover.HandoverController attribute) (pytwinnet.handover.rules.HandoverController attribute) timestamp (pytwinnet.simulation.Event attribute), [1], [2] (pytwinnet.simulation.events.Event attribute) (pytwinnet.simulation.events.MoveNodeEvent attribute) (pytwinnet.simulation.events.TrafficGenerationEvent attribute) (pytwinnet.simulation.MoveNodeEvent attribute), [1] (pytwinnet.simulation.TrafficGenerationEvent attribute), [1] to_properties() (pytwinnet.core.transceiver.Transceiver method) TrafficGenerationEvent (class in pytwinnet.simulation), [1], [2] (class in pytwinnet.simulation.events) Transceiver (class in pytwinnet.core.transceiver) transceiver_properties (pytwinnet.core.node.WirelessNode attribute), [1], [2] (pytwinnet.core.WirelessNode attribute), [1], [2] (pytwinnet.WirelessNode attribute)

TransceiverProperties (class in pytwinnet) (class in pytwinnet.core), [1], [2] (class in pytwinnet.core.node), [1], [2] transmit_power_dbm (pytwinnet.core.node.TransceiverProperties attribute), [1], [2] (pytwinnet.core.TransceiverProperties attribute), [1], [2] (pytwinnet.TransceiverProperties attribute) twin (pytwinnet.ingestion.realtime.RealTimeMonitor attribute) (pytwinnet.ingestion.RealTimeMonitor attribute), [1], [2] (pytwinnet.simulation.Simulator attribute), [1], [2] (pytwinnet.simulation.simulator.Simulator attribute) tx_id (pytwinnet.optimization.objective_ext.CoveragePercentileObjective attribute) (pytwinnet.optimization.objective_ext.EnergyEfficiencyObjective attribute) (pytwinnet.optimization.objective_ext.ProportionalFairObjective attribute) tx_power_dbm (pytwinnet.core.transceiver.Transceiver attribute)

U

update() (pytwinnet.mobility.constant_velocity.ConstantVelocity method) (pytwinnet.mobility.constant_velocity.ConstantVelocityMobility method) (pytwinnet.mobility.ConstantVelocity method), [1], [2] (pytwinnet.mobility.random_waypoint.RandomWaypoint method) (pytwinnet.mobility.random_waypoint.RandomWaypointMobility method) (pytwinnet.mobility.RandomWaypoint method), [1], [2]

update_mobility() (pytwinnet.core.node.WirelessNode method), [1], [2] (pytwinnet.core.WirelessNode method), [1], [2] (pytwinnet.WirelessNode method)

V

variance (pytwinnet.optimization.bayesopt.SimpleBayesOpt attribute)

velocity_mps (pytwinnet.mobility.constant_velocity.ConstantVelocity attribute) (pytwinnet.mobility.ConstantVelocity attribute), [1], [2]

W

what_if() (in module pytwinnet.simulation), [1], [2], [3] WirelessNode (class in pytwinnet) (class in pytwinnet.core), [1], [2] (class in pytwinnet.core.node), [1], [2]

X

X (pytwinnet.optimization.bayesopt.SimpleBayesOpt attribute)

Y

y (pytwinnet.optimization.bayesopt.SimpleBayesOpt attribute)

Z

zf_precoder() (in module pytwinnet.mimo) (in module pytwinnet.mimo.channel)