TY - GEN
T1 - Achievable Rate in RIS-Aided MU-MIMO System Using Location Information for Phase Shift Design
AU - Huang, Jinye
AU - Li, Bin
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Reconfigurable intelligent surface (RIS) is a promising technology for wireless communication systems. In order to design the beam from RIS to users, the users' positions are usually adopted to calculate the angle of departure (AoD) and angle of arrival (AoA) information. The users' positions from GPS or other localization system may not be accurate, thus degrades the performance of RIS-aided communication system. To this end, we analyze the achievable rate using the observed users' positions for beamforming design in multi-user multiple-input multiple-output (MU-MIMO) system. Based on the observed users' positions, approximate beamforming from RIS to users is designed. Moreover, a user-side analog combining vector based on users' positions is designed to maximize the received signal strength. Furthermore, the closed-form expression of the achievable rate is derived when the users' position errors follow Gaussian distributions. To verify the impact of observed users' positions, simulations demonstrate the derived closed-form achievable rate and numerical rate versus the mean and variance of position error, as well as the number of user antennas, respectively.
AB - Reconfigurable intelligent surface (RIS) is a promising technology for wireless communication systems. In order to design the beam from RIS to users, the users' positions are usually adopted to calculate the angle of departure (AoD) and angle of arrival (AoA) information. The users' positions from GPS or other localization system may not be accurate, thus degrades the performance of RIS-aided communication system. To this end, we analyze the achievable rate using the observed users' positions for beamforming design in multi-user multiple-input multiple-output (MU-MIMO) system. Based on the observed users' positions, approximate beamforming from RIS to users is designed. Moreover, a user-side analog combining vector based on users' positions is designed to maximize the received signal strength. Furthermore, the closed-form expression of the achievable rate is derived when the users' position errors follow Gaussian distributions. To verify the impact of observed users' positions, simulations demonstrate the derived closed-form achievable rate and numerical rate versus the mean and variance of position error, as well as the number of user antennas, respectively.
KW - Achievable rate
KW - Location information
KW - Multi-user multiple-input multiple-output
KW - Reconfigurable intelligent surface
UR - http://www.scopus.com/inward/record.url?scp=85181168935&partnerID=8YFLogxK
U2 - 10.1109/VTC2023-Fall60731.2023.10333494
DO - 10.1109/VTC2023-Fall60731.2023.10333494
M3 - Conference contribution
AN - SCOPUS:85181168935
T3 - IEEE Vehicular Technology Conference
BT - 2023 IEEE 98th Vehicular Technology Conference, VTC 2023-Fall - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 98th IEEE Vehicular Technology Conference, VTC 2023-Fall
Y2 - 10 October 2023 through 13 October 2023
ER -