Improving the spectral efficiency of an uplink 5G massive MIMO system using convex optimization approach

Abstract

5G deployment faces challenges in achieving high spectral efficiency and managing interference. This paper proposes an optimal beamforming approach for improving the spectral efficiency of an uplink 5G massive MIMO system, considering a quality of service (QoS) constraint. The selection of coordinated beamformers that maximized the weighted sum SE of the system, while fulfilling the QoS constraint, was formulated as a non-convex optimization problem, and reformulated to a convex problem by fixing the interference and noise term to a known constant for all UEs, and solved using CVX. Numerical simulations show that the proposed design is optimal and there is improvement in spectral efficiency when either the number of base stations receive antennas or total number of user equipment increases, or both.