TY - GEN
T1 - Joint Wide Illumination and Null Insertion Design in RIS-assisted System
AU - Lin, Xinyi
AU - Zhou, Ziyi
AU - Zhang, Lei
AU - Tukmanov, Anvar
AU - Abbasi, Qammer
AU - Imran, Muhammad Ali
N1 - Publisher Copyright:
© 2024 18th European Conference on Antennas and Propagation, EuCAP 2024. All Rights Reserved.
PY - 2024
Y1 - 2024
N2 - In this paper, we focus on reconfigurable intelligent surface (RIS)-aided joint wide illumination and null insertion design. This design can be applied in cellular networks, broadcasting, and radar systems, enabling multiple wide null and illumination at arbitrary directions. Our objective is to minimize the deviation between the target pattern and the practical power pattern by designing the passive beamforming at RIS, while the RIS unit modulus weights constraint is illustrated. To tackle the non-convex optimization problem, the low-complexity alternating direction method of multipliers (ADMM) algorithm is proposed. In particular, the augmented objective function is firstly formulated with introduced auxiliary variables, which is then rephrased as a Lagrangian function. By alternatively updating the variables, the objective function converges with the optimized RIS phase shifts. The convergence of simulation results proves the validity of our proposed algorithm, and the proposed algorithm performs quite well in matching the desired and actual power patterns with practical channel model under different number and size of illumination and null areas.
AB - In this paper, we focus on reconfigurable intelligent surface (RIS)-aided joint wide illumination and null insertion design. This design can be applied in cellular networks, broadcasting, and radar systems, enabling multiple wide null and illumination at arbitrary directions. Our objective is to minimize the deviation between the target pattern and the practical power pattern by designing the passive beamforming at RIS, while the RIS unit modulus weights constraint is illustrated. To tackle the non-convex optimization problem, the low-complexity alternating direction method of multipliers (ADMM) algorithm is proposed. In particular, the augmented objective function is firstly formulated with introduced auxiliary variables, which is then rephrased as a Lagrangian function. By alternatively updating the variables, the objective function converges with the optimized RIS phase shifts. The convergence of simulation results proves the validity of our proposed algorithm, and the proposed algorithm performs quite well in matching the desired and actual power patterns with practical channel model under different number and size of illumination and null areas.
KW - Reconfigurable intelligent surface
KW - least square normalization
KW - passive beamforming
UR - https://www.scopus.com/pages/publications/85192504018
U2 - 10.23919/EuCAP60739.2024.10501227
DO - 10.23919/EuCAP60739.2024.10501227
M3 - Conference contribution
AN - SCOPUS:85192504018
T3 - 18th European Conference on Antennas and Propagation, EuCAP 2024
BT - 18th European Conference on Antennas and Propagation, EuCAP 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 18th European Conference on Antennas and Propagation, EuCAP 2024
Y2 - 17 March 2024 through 22 March 2024
ER -