2024年7月11日 · This paper investigates artificial intelligence (AI) empowered schemes for reconfigurable intelligent surface (RIS) assisted networks from the perspective of fast implementation. We formulate a weighted sum-rate maximization problem for a …

2024年4月18日 · Abstract: This paper investigates artificial intelligence (AI) empowered schemes for reconfigurable intelligent surface (RIS) assisted networks from the perspective of fast implementation. We formulate a weighted sum-rate maximization problem for a …

2024年4月15日 · With the rapid advancement of reconfigurable intelligence surfaces (RISs), a new approach with on-the-air diffractional deep neural networks $(\mathrm{D}^{2}\text{NN})$ can be utilized to enable semantic communications in the wave domain. This article proposes a new paradigm of RIS-based on-the-air semantic communications, where the ...

This paper explores the road to implementing the combination of RIS and AI, more specifically, integrating AI-enabled technologies into RIS-based frameworks for maximizing the practicality of RIS to facilitate the realization of smart radio propagation environments, elaborated from shallow to deep insights.

2025年3月7日 · As 6G aims to cater to the growing demands of wireless network users, the implementation of intelligent and efficient solutions becomes essential. In particular, reconfigurable intelligent surfaces (RISs), also known as Smart Surfaces, are envisioned as a transformative technology for future 6G networks.

Abstract—This paper investigates artificial intelligence (AI) empowered schemes for reconfigurable intelligent surface (RIS) assisted networks from the perspective of fast implementation. We formulate a weighted sum-rate maximization problem for a …

This paper provides a review of the current optimization methods and artificial-intelligence-based methods for handling the constraints imposed by RISs and compares them in terms of the solution quality and computational complexity.

Reconfigurable intelligent surfaces (RISs) have recently emerged as a key enabling technology for 6G networks due to their capability to optimize wireless propagation environment, offering extended network coverage in a cost-effective manner. Integrating RISs into HAPs offers significant advantages, particularly in enhancing connectivity.

2024年8月12日 · We explore how AI enhances RIS functionality in wireless networks, optimizing key aspects such as channel estimation (CE), rate maximization, expanding coverage, energy efficiency (EE), and...

In this article, we present four typical RIS-aided multi-user scenarios with special emphasis on the MAC schemes. We then propose and elaborate on centralized, distributed, and hybrid artificial-in-telligence-assisted MAC architectures in RIS-aid-ed multi-user communications systems.