Joint Wide Illumination and Null Insertion Design in RIS-assisted System

Lin, X., Zhou, Z. , Zhang, L. , Tukmanov, A., Abbasi, Q. and Imran, M. A. (2024) Joint Wide Illumination and Null Insertion Design in RIS-assisted System. EuCAP 2024, Glasgow, Scotland, 17-22 Mar 2024.

Abstract

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.

• Item Type: Conference or Workshop Item
• Keywords: Reconfigurable intelligent surface, least square normalization, passive beamforming.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Zhang, Professor Lei and Imran, Professor Muhammad and Tukmanov, Dr Anvar and Lin, Ms Xinyi and Zhou, Ziyi and Abbasi, Professor Qammer
• Authors: Lin, X., Zhou, Z., Zhang, L., Tukmanov, A., Abbasi, Q., and Imran, M. A.
• College/School: College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity; College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering

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