RayleighBlockFading#

class sionna.phy.channel.RayleighBlockFading(num_rx: int, num_rx_ant: int, num_tx: int, num_tx_ant: int, precision: str | None = None, device: str | None = None, **kwargs)[source]#

Bases: sionna.phy.channel.channel_model.ChannelModel

Generates channel impulse responses corresponding to a Rayleigh block fading channel model

The channel impulse responses generated are formed of a single path with zero delay and a normally distributed fading coefficient. All time steps of a batch example share the same channel coefficient (block fading).

This class can be used in conjunction with the classes that simulate the channel response in time or frequency domain, i.e., OFDMChannel, TimeChannel, GenerateOFDMChannel, ApplyOFDMChannel, GenerateTimeChannel, ApplyTimeChannel.

Parameters:

  • num_rx (int) – Number of receivers (\(N_R\))

  • num_rx_ant (int) – Number of antennas per receiver (\(N_{RA}\))

  • num_tx (int) – Number of transmitters (\(N_T\))

  • num_tx_ant (int) – Number of antennas per transmitter (\(N_{TA}\))

  • precision (str | None) – Precision used for internal calculations and outputs. If set to None, precision is used.

  • device (str | None) – Device for computation (e.g., ‘cpu’, ‘cuda:0’). If None, device is used.

Inputs:

  • batch_size – int. Batch size.

  • num_time_steps – int. Number of time steps.

  • sampling_frequency – float. Sampling frequency [Hz]. Not used but accepted for compatibility with the ChannelModel interface.

Outputs:

  • a – [batch size, num_rx, num_rx_ant, num_tx, num_tx_ant, num_paths=1, num_time_steps], torch.complex. Path coefficients.

  • tau – [batch size, num_rx, num_tx, num_paths=1], torch.float. Path delays [s].

Examples

import torch
from sionna.phy.channel import RayleighBlockFading

channel_model = RayleighBlockFading(num_rx=1, num_rx_ant=2,
                                    num_tx=1, num_tx_ant=4)
h, tau = channel_model(batch_size=32, num_time_steps=14)
print(h.shape)
# torch.Size([32, 1, 2, 1, 4, 1, 14])
print(tau.shape)
# torch.Size([32, 1, 1, 1])

Attributes

property num_tx: int#

Number of transmitters

property num_tx_ant: int#

Number of antennas per transmitter

property num_rx: int#

Number of receivers

property num_rx_ant: int#

Number of antennas per receiver