An Efficient Convex-Hull Relaxation Based Algorithm for Multi-User Discrete Passive Beamforming
arXiv:2407.20914 · doi:10.1109/LSP.2024.3436669
Abstract
Intelligent reflecting surface (IRS) is an emerging technology to enhance spatial multiplexing in wireless networks. This letter considers the discrete passive beamforming design for IRS in order to maximize the minimum signal-to-interference-plus-noise ratio (SINR) among multiple users in an IRS-assisted downlink network. The main design difficulty lies in the discrete phase-shift constraint. Differing from most existing works, this letter advocates a convex-hull relaxation of the discrete constraints which leads to a continuous reformulated problem equivalent to the original discrete problem. This letter further proposes an efficient alternating projection/proximal gradient descent and ascent algorithm for solving the reformulated problem. Simulation results show that the proposed algorithm outperforms the state-of-the-art methods significantly.
arXiv comment5 pages
References in corpus (6)
- An Overview of Signal Processing Techniques for RIS/IRS-aided Wireless Systems
- Double-IRS Assisted Multi-User MIMO: Cooperative Passive Beamforming Design
- Cooperative Beam Routing for Multi-IRS Aided Communication
- Configuring Intelligent Reflecting Surface with Performance Guarantees: Blind Beamforming
- A Linear Time Algorithm for the Optimal Discrete IRS Beamforming
- Coordinating Multiple Intelligent Reflecting Surfaces without Channel Information