Power-Aware Sparse Reflect Beamforming in Active RIS-aided Interference Channels

Core Concepts

Proposing power-aware sparse reflect beamforming designs for active RIS to optimize performance and reduce power consumption in interference channels.

Abstract

This content delves into the concept of active reconfigurable intelligent surfaces (RIS) aiding interference channels. It introduces a power-aware sparse reflect beamforming design for active RIS to mitigate cross-channel interferences efficiently, reducing hardware and power costs. The article discusses the challenges faced by passive RIS and the advantages of active RIS in managing interference, providing insights into optimizing sum rates and minimizing power consumption. Various optimization problems are addressed, including sum-rate maximization and active RIS power minimization, with proposed models and algorithms outlined for each scenario.
Structure:

Introduction to Active Reconfigurable Intelligent Surfaces (RIS)
Challenges Faced by Passive RIS vs. Advantages of Active RIS
Power Consumption Model for Active RIS
Sum-Rate Maximization Problem with Sparse Reflect Beamforming Design Algorithm
Active RIS Power Minimization Problem with Proposed Algorithm using Difference-of-Convex Programming (DCA)
Complexity Analysis for Algorithms

Stats

"Q user pairs share the same time and frequency resources with the aid of active RIS."
"Active RIS can achieve interference nulling with as few as K(K −1) REs."
"Numerical results show that proposed sparse designs increase sum rate of user pairs and decrease power consumption."

Quotes

"Active reconfigurable intelligent surface has unique capability to reshape wireless channels."
"Active RIS can significantly extend service area and boost spectrum efficiency."
"Proposed sparse designs notably increase sum rate of user pairs."

Key Insights Distilled From

Power-Aware Sparse Reflect Beamforming in Active RIS-aided Interference Channels

by Ruizhe Long,... at arxiv.org 03-26-2024

https://arxiv.org/pdf/2403.16472.pdf

Deeper Inquiries

How does the proposed power-aware design impact overall system efficiency

The proposed power-aware design impacts overall system efficiency by allowing the active RIS to optimize its power consumption while maintaining performance. By selectively activating only necessary REs and closing inefficient ones, the active RIS can reduce power usage, leading to energy savings and improved sustainability. This optimization ensures that the system operates efficiently without unnecessary power consumption, ultimately enhancing the overall system performance.

What are the implications of closing inefficient REs on system performance

Closing inefficient REs has implications on system performance in several ways. Firstly, it reduces power consumption by eliminating the need to activate all REs, thereby saving energy and reducing operational costs. Secondly, it improves interference management by focusing resources on more effective REs, enhancing signal quality and transmission reliability. However, there may be a trade-off between closing REs for energy efficiency and ensuring sufficient coverage or capacity in certain scenarios. Therefore, careful consideration is needed to balance these factors for optimal system performance.

How does the use of DCA improve rank-one solution recovery compared to Gaussian randomization

The use of Difference-of-Convex Algorithm (DCA) improves rank-one solution recovery compared to Gaussian randomization by providing a systematic approach to finding high-quality local optima in nonconvex problems like recovering rank-one solutions from semidefinite programming relaxations. DCA iteratively updates primal-dual variables based on convex relaxation techniques with penalty terms for nonconvex constraints such as rank constraints. This method converges towards a stationary point efficiently and reliably even in complex optimization landscapes where traditional methods like Gaussian randomization may struggle to find suitable solutions due to their stochastic nature.