A method for configuring a wireless transmitter comprising a massive transmit antennas arrangement, a set of modulators and an analog precoder mixing modulated analog signals output by the set of modulators onto respective inputs of the massive transmit antennas arrangement, the wireless transmitter further comprising a codebook storing candidate predefined beam configurations corresponding to a specific phase pattern configuration of the analog precoder, transmissions of frames by the wireless transmitter being performed onto respective M time and frequency resources by using combinations of concurrent beam configurations among the candidate predefined beam configurations stored in the codebook so as to perform Multi-User Multiple-Inputs Multiple-Outputs MU-MIMO transmissions toward wireless receivers (121, 122, 123), the method being implemented by the wireless transmitter, wherein the wireless transmitter further comprises an MU-MIMO fair scheduler, referred to as online MU-MIMO fair scheduler, determining (S306, S715, S813) which combinations of concurrent beams to be applied onto the time and frequency resources so as to take into account a fairness constraint between the wireless receivers (121, 122, 123) in view of effective channel conditions toward the wireless receivers (121, 122, 123), wherein the wireless transmitter performs a frame transmission (S307, S717, S815) onto the time and frequency resources by configuring the analog precoder according to the combinations of concurrent beams determined by the online fair scheduler, wherein the wireless transmitter further comprises another MU-MIMO fair scheduler, referred to as offline MU-MIMO fair scheduler, implementing a first configuration phase in which the offline MU-MIMO fair scheduler determines candidate combinations of concurrent beams by using long-term statistics associated to performance of transmissions from the wireless transmitter toward the wireless receivers (121, 122, 123) and by taking into account the fairness constraint between the wireless receivers (121, 122, 123), wherein the online fair scheduler implements a second configuration phase in which the online MU-MIMO fair scheduler selects (S306, S715, S813) the combinations of concurrent beams to be applied onto the time and frequency resources among the candidate combinations of concurrent beams determined by the offline MU-MIMO fair scheduler during the first configuration phase, wherein the wireless receivers (121, 122, 123) effectively targeted with any one of the candidate combinations of concurrent beams are defined by the online MU-MIMO fair scheduler during the second configuration phase, wherein the offline MU-MIMO fair scheduler optimizes an alpha-fair criterion, which leads to the following utility function, where the Np beam configurations showing the best long-term statistics metric values have been retained beforehand for each wireless receiver (121, 122, 123): ∑ p = 1 Np UEBC P p Cidx, U p Cidx Rav 1 U p Cidx α where Rav 1 ( U ( p, Cidx)) is a theoretical achievable total or average rate for the wireless receiver identified by U(p,Cidx) in view of long-term statistics, α is a fairness coefficient such that -∞ < α < +∞, UEBC(P(p,Cidx),U(p,Cidx)) represents the long-term statistics metric value for the beam configuration identified by P(p,Cidx) and for the wireless receiver identified by U(p,Cidx), further where P(p,Cidx) is an absolute identifier of the beam configuration represented by the value of the relative index p among the concurrent beams forming the combination of concurrent beams represented by the value of the index Cidx., and U(p,Cidx) is an absolute identifier of the wireless receiver associated with the beam configuration represented by the value of the relative index p among the concurrent beams forming the combination of concurrent beams represented by the value of the index Cidx, wherein Cidx = 1,..., Nc, with Nc being the number of candidate combinations of concurrent beams which provide the Nc highest values of the utility function, each candidate combination being associated with Np corresponding respective concurrent beam configurations, and wherein the online MU-MIMO fair scheduler optimizes the alpha-fair criterion, which leads to the following utility function: ∑ p = 1 Np ∑ m = 1 M r ′ p Cidx m Rav 2 U ′ p Cidx m α where Rav2 (U'(p, Cidx,m)) is a total or average rate achieved for the wireless receiver identified by by U'(p, Cidx,m) via the time and frequency resource m among the M time and frequency resources, and further where r'(p, Cidx,m) is instantaneous rate expected to be achieved via the time and frequency resource for the wireless receiver identified by U' ( p, Cidx,m) with the beam configuration B(p,Cidx).