Configuring Intelligent Reflecting Surface with Performance Guarantees: Optimal Beamforming
arXiv:2112.02260 · doi:10.1109/JSTSP.2022.3176479
Abstract
This work proposes linear time strategies to optimally configure the phase shifts for the reflective elements of an intelligent reflecting surface (IRS). Specifically, we show that the binary phase beamforming can be optimally solved in linear time to maximize the received signal-to-noise ratio (SNR). For the general K-ary phase beamforming, we develop a linear time approximation algorithm that guarantees performance within a constant fraction (1+\cos(π/K))/2 of the global optimum, e.g., it can attain over 85% of the optimal performance for the quadrature beamforming with K=4. According to the numerical results, the proposed approximation algorithm for discrete IRS beamforming outperforms the existing algorithms significantly in boosting the received SNR.
arXiv comment9 pages, 10 figures
References in corpus (16)
- Fractional Programming for Communication Systems--Part I: Power Control and Beamforming
- Active RIS vs. Passive RIS: Which Will Prevail in 6G?
- Fractional Programming for Communication Systems--Part II: Uplink Scheduling via Matching
- RIS-Aided Wireless Communications: Prototyping, Adaptive Beamforming, and Indoor/Outdoor Field Trials
- Intelligent Reflecting Surface-Assisted Millimeter Wave Communications: Joint Active and Passive Precoding Design
- Intelligent Reflecting Surface-Assisted Multiple Access with User Pairing: NOMA or OMA?
- Exploiting Intelligent Reflecting Surfaces in NOMA Networks: Joint Beamforming Optimization
- A joint precoding framework for wideband reconfigurable intelligent surface-aided cell-free network
- Double-IRS Assisted Multi-User MIMO: Cooperative Passive Beamforming Design
- Energy Efficiency and Spectral Efficiency Tradeoff in RIS-Aided Multiuser MIMO Uplink Transmission
- Sum Rate Maximization for IRS-assisted Uplink NOMA
- Intelligent Reflecting Surface Aided Multi-User Millimeter-Wave Communications for Coverage Enhancement
- Beamforming Optimization for Intelligent Reflecting Surface Assisted MIMO: A Sum-Path-Gain Maximization Approach
- Configuring Intelligent Reflecting Surface with Performance Guarantees: Blind Beamforming
- Two-timescale Beamforming Optimization for Intelligent Reflecting Surface Aided Multiuser Communication with QoS Constraints
- Delay-Constrained Joint Power Control, User Detection and Passive Beamforming in Intelligent Reflecting Surface Assisted Uplink mmWave System
Cited by in corpus (9)
- Configuring Intelligent Reflecting Surface with Performance Guarantees: Blind Beamforming
- A Linear Time Algorithm for the Optimal Discrete IRS Beamforming
- Reconfigurable Intelligent Surfaces for 6G -- Applications, Challenges and Solutions
- Optimum Beamforming and Grating Lobe Mitigation for Intelligent Reflecting Surfaces
- Robust IRS-Element Activation for Energy Efficiency Optimization in IRS-Assisted Communication Systems With Imperfect CSI
- Achieving Optimum Received Power with Elementwise Updates in the Least Number of Steps for Discrete-Phase RISs
- Received Power Maximization Using Nonuniform Discrete Phase Shifts for RISs With a Limited Phase Range
- Global Optimization of Energy Efficiency in IRS-Aided Communication Systems via Robust IRS-Element Activation
- RIS Assisted Wireless Networks: Collaborative Regulation, Deployment Mode and Field Testing