Supported Features and Configurations

This release of the cuBB SDK supports the following configurations and features. These features are verified with test vectors in a simulated environment using TestMAC and RU emulator.

• Process multiple cells (homogeneous and heterogeneous configurations) using CUDA streams or CUDA graphs

• Frequency multiplexing

• BW: 100 MHz

• Antenna ports: 4

• SU-MIMO layers: up to 4

• MU-MIMO layers: up to 4

• Modulation and coding rates: MCS 0 – MCS 27

• Optimized LDPC decoder

• UCI on PUSCH (HARQ up to 11 bits + CSI part 1 + CSI part 2 up to 11 bits)

• Time-interpolated channel estimation and equalization

• SINR reporting to L2

• MMSE-IRC receiver

• Early HARQ in UCI.indication

• Format 0 + DTX detection

• Format 1 + DTX detection

• Format 2 (unsegmented payload) + DTX detection

• Format 3 (unsegmented payload) + DTX detection

• SINR / confidence level reporting to L2

• Format 0

• Format B4 (multiple per slot in FDM)

• Interference level reporting

• Process multiple cells (homogeneous and heterogeneous configurations) using CUDA streams or CUDA graphs.

• Frequency multiplexing

• BW: 100 MHz

• Antenna ports: 4

• SU-MIMO layers: up to 4

• MU-MIMO layers: up to 4

• Modulation and coding rates: MCS 0 – MCS 27

• Supports Cat-A O-RAN split and Cat-B O-RAN split. For Cat-A O-RAN split, PDSCH is implemented up to modulation and precoding (identity matrix precoder) For Cat-B O-RAN split, PDSCH is implemented up to the rate matching block.

• Precoding (4 layers)

• Process multiple cells (homogeneous and heterogeneous configurations) using CUDA streams or CUDA graphs.

• Interleaved and non-interleaved mode

• Aggregation level (AL) 1, 2, 4, 8, 16

• 1, 2, 3 symbol CORESET

• Precoding (1 layer)

• Process multiple cells (homogeneous and heterogeneous configurations) using CUDA streams or CUDA graphs.

• PSS, SSS generation

• DMRS and PBCH generation and time-frequency mapping

• Precoding (1 layer)

• Process multiple cells (homogeneous and heterogeneous configurations) using CUDA streams or CUDA graphs.

• NZP-CSI-RS

• ZP-CSI-RS

• Precoding (1 layer)

• Support SRS reporting for normalized 8 bit I/Q samples for upto 32T32R BB Antenna ports.

• Support SRS reporting according to 5G FAPI 222.10.04 for beamManagemnt, codebook and non-codebook SRS usage.

• Support SRS reporting according to 5G FAPI 222.10.02 for SINR reporting.

• Support 32 Transmit and Receive antenna ports

• Support SRS-based channel estimation, buffering and FAPI-compliant reporting to L2

• Support PUSCH and PDSCH beamforming weight (BFW) calculation from SRS channel estimates (regularized zero-forcing)

• Support up to 4 layers multi-user MIMO PUSCH

• Support up to 8 layers multi-user MIMO PDSCH

• Limited set of configurations available

• Standalone LDPC decoder

• Support for C++ std::format syle logging like std::format("{} {}!", "Hello", "world", "something");

• Support for C (printf) style formatted strings.