Releases
v0.12.0
MIMO
Add MMSEPICDetector
layer for MMSE-PIC detection, contribution from rwiesmayr
Add EPDetector
layer for expectation propagation (EP) detection
Add KBestDetector
for K-Best detection
Utility layer PAM2QAM
now also supports soft information
FEC
Add OSDDecoder
layer for ordered statistics decoding (OSD)
Add submodule fec.linear
for universal support of Linear Codes
Add support for max-log BCJR decoding to the convolutional and Turbo decoders
Align Turbo and convolutional encoders
Add support for code termination to convolutional codes
Add input LLR clipping to LDPC BP decoding
OFDM
Add base class BaseChannelEstimator
to ease the implementation of OFDM channel estimators
Add base class BaseChannelInterpolator
to ease the implementation of OFDM channel interpolators
Add LMMSEInterpolator
for LMMSE channel time and frequency interpolation and optional spatial smoothing
Add utility functions to compute time and frequency covariance matrices of TDL models
Add base class BaseEqualizer
to ease implementation of OFDM MIMO equalizers
Add base classes BaseDetector
and BaseDetectorWithPrior
to ease the implementation of OFDM MIMO detectors without and with prior information
Add LinearDetector
layer for LMMSE, MR, or ZF equalization followed by app or max-log demapping for OFDM MIMO detection
Add KBestDetector
for K-Best-based OFDM MIMO detection
Add EPDetector
for EP-based OFDM MIMO detection
Add MMSEPICDetector
for MMSE-PIC-based OFDM MIMO detection
Add a setter to PilotPattern
to support one-the-fly update of pilot symbols
Channel
Add MIMO support to TDL channel models through the specification of arbitrary correlation matrices
Add support for TDL A30, B100, and C300 channel models
Fix base station orientation in gen_topology_*
utilities
Tutorials
Add a notebook showing how to use and compare some of the OFDM channel estimators and MIMO detectors available in Sionna
MISC
Typos fix and new test cases
Drop support for TensorFlow 2.6
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