Wireless receiver apparatus

A method performed by a wireless receiver apparatus, the method comprising:

• reading a first parameter set or a second parameter set from a memory, the first parameter set including a plurality of scaling factors and a plurality of damping factors learned together using a deep learning technique, the second parameter set including a plurality of scaling factors and a plurality of node selection factors learned together using a deep learning technique;
• and
• executing an iterative Belief Propagation (BP) algorithm that uses the first parameter set or the second parameter set in order to perform multi-user detection.

A non-transitory computer readable medium storing a program comprising instructions, which when executed on a processor of a wireless receiver apparatus causes the processor to:

• read a first parameter set or a second parameter set from a memory, the first parameter set including a plurality of scaling factors and a plurality of damping factors learned together using a deep learning technique, the second parameter set including a plurality of scaling factors and a plurality of node selection factors learned together using a deep learning technique;
• and
• execute an iterative Belief Propagation (BP) algorithm that uses the first parameter set or the second parameter set in order to perform multi-user detection.