CodedAWGNChannelNR#

class sionna.phy.nr.utils.CodedAWGNChannelNR(num_bits_per_symbol: int | None = None, num_info_bits: int | None = None, target_coderate: float | None = None, num_iter_decoder: int = 20, cn_update_decoder: str = 'boxplus-phi', precision=None, device=None, **kwargs)[source]#

Bases: sionna.phy.utils.misc.SingleLinkChannel

Simulates a 5G-NR compliant single-link coded AWGN channel. Inherits from SingleLinkChannel.

Parameters:

  • num_bits_per_symbol (int | None) – Number of bits per symbol, i.e., modulation order.

  • num_info_bits (int | None) – Number of information bits per code block.

  • target_coderate (float | None) – Target code rate, i.e., the target ratio between the information and the coded bits within a block.

  • num_iter_decoder (int) – Number of decoder iterations. See LDPC5GDecoder for more details.

  • cn_update_decoder (str) – Check node update rule. See LDPC5GDecoder for more details.

  • precision – Precision for internal calculations. If None, precision is used.

  • device – Device for computation. If None, device is used.

  • kwargs – Additional keyword arguments for LDPC5GDecoder.

Inputs:

  • batch_size – int. Size of the simulation batches.

  • ebno_db – float. Eb/No value in dB.

Outputs:

  • bits – [batch_size, num_info_bits], torch.int32. Transmitted bits.

  • bits_hat – [batch_size, num_info_bits], torch.int32. Decoded bits.

Examples

from sionna.phy.nr.utils import CodedAWGNChannelNR

channel = CodedAWGNChannelNR(
    num_bits_per_symbol=4,
    num_info_bits=1024,
    target_coderate=0.5
)
bits, bits_hat = channel(batch_size=100, ebno_db=5.0)
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