TY - GEN
T1 - Two-Timescale Beamforming for IRS-Assisted Millimeter Wave Systems
T2 - 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2022
AU - Wang, Peilan
AU - Fang, Jun
AU - Wu, Zhuoran
AU - Li, Hongbin
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - We study the problem of joint active and passive beamforming for intelligent reflecting surface (IRS)-assisted millimeter Wave (mmWave) communication systems. To relieve from frequent instantaneous channel state information (I-CSI) acquisition, we consider a two-timescale beamforming protocol, in which the reflecting coefficients at the IRS are designed according to the long-term (i.e. statistical) CSI, and the transmit beam- forming matrix is devised based on the instantaneous equivalent channel in a short-term scale. Such a problem is formulated as a stochastic optimization problem. To tackle this highly-coupled non-convex problem, we propose a combined effective channel gain maximization criterion for long-term passive beamforming. Also, a deep unrolling-based method is developed to provide a unified framework to address the stochastic optimization problem. Simulation results show that the proposed two-timescale beamforming methods can approach the performance of the beamforming approach that is based on the I-CSI.
AB - We study the problem of joint active and passive beamforming for intelligent reflecting surface (IRS)-assisted millimeter Wave (mmWave) communication systems. To relieve from frequent instantaneous channel state information (I-CSI) acquisition, we consider a two-timescale beamforming protocol, in which the reflecting coefficients at the IRS are designed according to the long-term (i.e. statistical) CSI, and the transmit beam- forming matrix is devised based on the instantaneous equivalent channel in a short-term scale. Such a problem is formulated as a stochastic optimization problem. To tackle this highly-coupled non-convex problem, we propose a combined effective channel gain maximization criterion for long-term passive beamforming. Also, a deep unrolling-based method is developed to provide a unified framework to address the stochastic optimization problem. Simulation results show that the proposed two-timescale beamforming methods can approach the performance of the beamforming approach that is based on the I-CSI.
KW - Intelligent reflecting surface
KW - millimeter wave communications
KW - two-timescale beamforming
UR - http://www.scopus.com/inward/record.url?scp=85135378948&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85135378948&partnerID=8YFLogxK
U2 - 10.1109/SAM53842.2022.9827889
DO - 10.1109/SAM53842.2022.9827889
M3 - Conference contribution
AN - SCOPUS:85135378948
T3 - Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
SP - 191
EP - 195
BT - 2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop, SAM 2022
Y2 - 20 June 2022 through 23 June 2022
ER -