TY - GEN
T1 - Performance Evaluation of MU-MIMO Systems with Multi-Antenna Users for Different Precoding Strategies
AU - Marques, João Paulo P.G.
AU - Danilchenko, Kiril
AU - Rosenberg, Catherine
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025/1/1
Y1 - 2025/1/1
N2 - Radio resource management of the downlink of multi-user multiple-input multiple-output systems with multi-antenna users is considered to evaluate the performance of three zero-forcing precoding strategies: 1) Block Diagonalization (BD) where all streams are used for each selected user; 2) Coordinated-Transmit-Receive-1 (CTR1) where only the strongest stream is used for each scheduled user; 3) Coordinated-Transmit-Receive-Flexible (CTRF) that allows a flexible stream allocation per selected user. Although the more complex CTRF has the potential for better performance due to its flexibility, it might be difficult to implement it in practice. Hence, it is crucial to comprehend when the simpler CTR1 or BD can be used instead of CT RF. Our analysis compares the precoding strategies within 3GPP-compliant scenarios using realistic modulation and coding schemes in systems featuring large numbers of users and Base-Station (BS) antennas. We compare the performance of these precoding strategies under Sum-Rate (SR) maximization and Proportional Fairness (PF) and show that previous research conclusions carried out for SR maximization only hold for a small number of BS antennas. Indeed, for SR maximization, BD matches the performance of CTRF when BS antenna arrays are sufficiently large. For PF, the results are more nuanced, depending significantly on system parameters.
AB - Radio resource management of the downlink of multi-user multiple-input multiple-output systems with multi-antenna users is considered to evaluate the performance of three zero-forcing precoding strategies: 1) Block Diagonalization (BD) where all streams are used for each selected user; 2) Coordinated-Transmit-Receive-1 (CTR1) where only the strongest stream is used for each scheduled user; 3) Coordinated-Transmit-Receive-Flexible (CTRF) that allows a flexible stream allocation per selected user. Although the more complex CTRF has the potential for better performance due to its flexibility, it might be difficult to implement it in practice. Hence, it is crucial to comprehend when the simpler CTR1 or BD can be used instead of CT RF. Our analysis compares the precoding strategies within 3GPP-compliant scenarios using realistic modulation and coding schemes in systems featuring large numbers of users and Base-Station (BS) antennas. We compare the performance of these precoding strategies under Sum-Rate (SR) maximization and Proportional Fairness (PF) and show that previous research conclusions carried out for SR maximization only hold for a small number of BS antennas. Indeed, for SR maximization, BD matches the performance of CTRF when BS antenna arrays are sufficiently large. For PF, the results are more nuanced, depending significantly on system parameters.
KW - Downlink
KW - MU-MIMO
KW - Multi-antenna Users
KW - Precoding
KW - Zero-forcing
UR - http://www.scopus.com/inward/record.url?scp=105006429912&partnerID=8YFLogxK
U2 - 10.1109/WCNC61545.2025.10978506
DO - 10.1109/WCNC61545.2025.10978506
M3 - Conference contribution
AN - SCOPUS:105006429912
T3 - IEEE Wireless Communications and Networking Conference, WCNC
BT - 2025 IEEE Wireless Communications and Networking Conference, WCNC 2025
PB - Institute of Electrical and Electronics Engineers
T2 - 2025 IEEE Wireless Communications and Networking Conference, WCNC 2025
Y2 - 24 March 2025 through 27 March 2025
ER -