TeraRIS NOMA-MIMO Communications for 6G and Beyond Industrial Networks

2025-08-07

AI Summary

To address the low spectral efficiency, limited coverage, and insufficient reliability of 6G industrial networks, this paper proposes a reconfigurable intelligent surface (RIS)-assisted terahertz (THz) non-orthogonal multiple access (NOMA)-multiple-input multiple-output (MIMO) communication framework. We innovatively design two adaptive power allocation strategies—optimized for near/far industrial nodes and dynamically responsive to time-varying network demands—and jointly integrate RIS beamforming, THz high-frequency propagation, and coordinated resource allocation to enhance communication robustness in dense industrial environments. Simulation results demonstrate that, under a 30 dBm transmit power, the proposed scheme achieves up to a 23% sum-rate gain over conventional fixed-power NOMA and significantly reduces outage probability. These improvements effectively support ultra-low-latency and ultra-reliable communication requirements essential for industrial automation.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Application Domains: Internet of Things, Sensor Networks & Smart Cities
• Intelligent Robots: Multi-Robot Systems

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• Search and Retrieval-Augmented AI: Vertical and domain-specific search
• Graph Algorithms and Modeling for the Web: Efficient manipulation of static and dynamic Web-related graphs

Abstract

This paper presents a joint framework that integrates reconfigurable intelligent surfaces (RISs) with Terahertz (THz) communications and non-orthogonal multiple access (NOMA) to enhance smart industrial communications. The proposed system leverages the advantages of RIS and THz bands to improve spectral efficiency, coverage, and reliability key requirements for industrial automation and real-time communications in future 6G networks and beyond. Within this framework, two power allocation strategies are investigated: the first optimally distributes power between near and far industrial nodes, and the second prioritizes network demands to enhance system performance further. A performance evaluation is conducted to compare the sum rate and outage probability against a fixed power allocation scheme. Our scheme achieves up to a 23% sum rate gain over fixed PA at 30 dBm. Simulation results validate the theoretical analysis, demonstrating the effectiveness and robustness of the RIS-assisted NOMA MIMO framework for THz enabled industrial communications.

Problem

• Enhancing smart industrial communications with RIS and THz integration
• Improving spectral efficiency and reliability for 6G industrial networks
• Optimizing power allocation for near-far industrial nodes performance

Innovation

• Integrates RIS with THz and NOMA
• Uses two power allocation strategies
• Achieves 23% sum rate gain