Weighted Sum Rate Maximization for DMA-Based MU-MIMO System

Advancements and emergencies in consumer technologies such as 6G, virtual reality, augmented reality, and now artificial intelligence put more demands on wireless communication networks to be able to accommodate the resulting large data and low latency transmissions. In addition to the several ongoing efforts to realize this goal, this work proposes the combination of multiple-input multiple-output (MIMO), dynamic metasurface antennas (DMA), and millimeter wave (mmWave) technologies to optimize the downlink weighted sum rate (WSR) of the MIMO system operating at the mmWave band, and whose users are all equipped with DMA. We formulate the system model and the associated WSR maximization problem, which is later solved by the proposed algorithm designed to tackle the optimization of each variable using novel techniques that guarantee fast convergence. The numerical results demonstrate the effectiveness of the proposed algorithm in achieving higher performance than the conventional MIMO system with the same number of radio frequency chains.