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aeris-channel

PyPI

3GPP channel models and deterministic-stochastic hybrid workflows for 5G NR and 6G research

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Direct dependencies10From release 1.0.5
Last observed20 Oct, 20:29 UTC

README

Version 1.0.5 documentation

aeris-channel

aeris-channel is a Python library for 5G NR and 6G channel modeling, deterministic/stochastic hybrid workflows, and hardware-in-the-loop integration.

It provides public APIs for:

  • 3GPP TR 38.901 stochastic, CDL, and TDL channel models.
  • TR 36.777 aerial-UE/UAV and TR 38.811/38.821 non-terrestrial channel models.
  • MIMO, massive-MIMO, XL-MIMO, near-field, and beam-management workflows.
  • ISAC sensing, channel estimation, and system-level metrics.
  • Deterministic-path and stochastic-residual composition, plus time-domain, frequency-domain, resource-grid, and impulse-response interfaces.

Installation

Install the latest release from PyPI:

python -m pip install aeris-channel

Prebuilt wheels are provided for Windows and Linux with CPython 3.11-3.14. The package installs its aeris-license dependency automatically.

Optional feature groups are available:

python -m pip install "aeris-channel[gpu]"      # CuPy for CUDA 12.x
python -m pip install "aeris-channel[plots]"    # Matplotlib
python -m pip install "aeris-channel[profiles]" # YAML profile loading

License

Runtime use requires a valid aeris.lic. Obtain a license through the approved Keysight process and configure its location using the supplied licensing instructions before running licensed functionality.

Quick start: stochastic channel

from aeris_channel.tr38901 import (
    StochasticChannelConfig,
    generate_stochastic_channel,
)

config = StochasticChannelConfig(
    scenario="UMi",
    carrier_freq_hz=3.5e9,
    n_tx=2,
    n_rx=2,
    num_time_samples=64,
    seed=42,
)
result = generate_stochastic_channel(config)

print(result.H.shape)  # (2, 2, 64)
print(result.pathloss_db)

Map-based hybrid channels

For the TR 38.901 map-based hybrid workflow, aeris-channel consumes complete Step 3 deterministic path sets produced by a connected scene or ray-tracing tool, then generates the stochastic residual and ray-resolved channel for one link and snapshot. Map preparation and deterministic ray tracing are upstream responsibilities; the package does not replace a ray tracer.

The documented Clause 8 profiles include UMa, UMi Street Canyon, RMa through 7 GHz, InH-Office, and InF-SL/DL/SH/DH for LOS/NLOS, plus LOS-only InF-HH. RMa, InH, and InF require caller-supplied cluster delay spread where the referenced table marks it N/A. The map-based model is intended for company-specific use and calibration; it does not claim universal cross-company calibration.

Documentation and examples

Release-matched public documentation and runnable examples are distributed separately from the PyPI wheel. Use the documentation and examples marked for the installed package version. They cover stochastic/CDL/TDL channels, NTN and aerial UE workflows, spatial consistency, MIMO/XL-MIMO, ISAC, deterministic path interoperability, resource grids, and RF/HIL or PROPSIM integrations.

Support

Contact support.aeris@keysight.com for licensing and product support.

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Versions 1

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VersionPublishedDirect dependenciesOpen version
1.0.57 Oct 202610

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