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15日 · This article proposes a new paradigm of RIS-based on-the-air semantic communications, where the computations take place inherently as wireless signals pass through RISs. We present a system model and discuss the issues with data and control flows in this scheme, followed by a performance analysis with image transmission as an example.

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 …

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.

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.

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...

2023年12月1日 · This paper proposes a new paradigm of RIS-based on-the-air semantic communications, where the computational process occurs inherently as wireless signals pass through RISs. We present the system model and discuss the data and control flows of this scheme, followed by a performance analysis using image transmission as an example.

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.

In this paper, two pairs of dominant methodologies of using AI for RIS-aided wireless communications are discussed. The first one is the AI-based algorithm design, which is illustrated by some examples of typical transmission techniques.