Learning method for selecting beams in a millimeter-wave mimo system

A program product for selecting beams in a Millimeter-Wave MIMO system, using at least a transmitter (Tx) antennas codebook indexing a plurality of beam patterns and a receiver (Rx) antennas codebook indexing a plurality of beam patterns, at least one beam pattern being selected among said transmitter antennas codebook and at least one beam pattern being selected among said receiver antennas codebook, said selected beam patterns forming one or more pair of beams, said pair forming a channel for transmitting information between the transmitter antennas and the receiver antennas,

• the computer program product comprising a support and stored on this support instructions that can be read by a processor, these instructions being configured to:
• a. Sound only a subset of beam pairs chosen among a set of all possible combinations of beam patterns of the transmitter and the receiver antennas codebooks forming beam pairs,
• b. Measure value of a transmission quality parameter of said subset of beam pairs previously sounded to be indexed in an matrix(S),
• c. Apply a learning model on said subset of sounded beam pairs and/or on a predefined training set of beams, to determine at least two latent vectors corresponding to the factorization of said matrix(S),
• d. Use said at least previously determined two latent vectors to predict values of the transmission quality parameter of unsounded beam pairs and complete said matrix(S), and
• e. Compare all values of the transmission quality parameter of said matrix(S) and selecting the beam pair having the maximum value of the transmission quality parameter to form the channel for transmitting information between the transmitter antennas and the receiver antennas.