One of the most important issues in the efficient use of radio resource spectrum for multiuser multiple-input/multiple-output (MU-MIMO) systems is the selection of users to achieve the maximum system throughput. The optimal user device selection algorithm, which requires exhaustive search, is prohibitive due to its high computational complexity. Moreover, fairness among the users cannot generally be achieved with such a scheme. Therefore, we propose to use Jain's fairness index to assure that each user can achieve a required data rate, as in a system with quality of service guarantees. In this paper, we formulate an optimization problem for user selection based on angle-of-arrival (AoA), in a HetNET multiuser aiming to jointly maximize the total system throughput and the spectrum efficiency, notably, using a well-known beamforming technique to eliminate inter-users interference. Through computational complexity analysis, the proposed algorithms frequency allocation angular based with fairness FAABF-algorithm and frequency allocation angular based without fairness FAAB-algorithm, that are considered as the best solution for the formulated optimization problem, Indeed, they provide a low complexity. Simulation results validate that the proposed algorithm achieves almost the same system throughput than a capacity-based algorithm under a high SNR regime with a considerable reduction in complexity.