TY - GEN
T1 - Weighted Sum Rate Maximization for DMA-Based MU-MIMO System
AU - Kimaryo, Seraphin F.
AU - Lee, Kyungchun
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - 6G
KW - downlink MIMO communication
KW - dynamic metasurface antenna (DMA)
KW - Metamaterials
KW - weighted sum rate (WSR)
UR - http://www.scopus.com/inward/record.url?scp=85217719789&partnerID=8YFLogxK
U2 - 10.1109/ICTC62082.2024.10826929
DO - 10.1109/ICTC62082.2024.10826929
M3 - Conference contribution
AN - SCOPUS:85217719789
T3 - International Conference on ICT Convergence
SP - 1171
EP - 1176
BT - ICTC 2024 - 15th International Conference on ICT Convergence
PB - IEEE Computer Society
T2 - 15th International Conference on Information and Communication Technology Convergence, ICTC 2024
Y2 - 16 October 2024 through 18 October 2024
ER -