An Overview on Over-the-air Electromagnetic Signal Processing

2024-12-19

arXiv.org

AI Summary

To address the critical bottlenecks of low energy efficiency, high latency, and excessive hardware complexity in digital signal processing for 6G wireless networks, this paper proposes a novel over-the-air electromagnetic signal processing (ESP) paradigm that transcends conventional baseband processing. By deeply integrating electromagnetic field physics with signal processing theory, we establish the first systematic foundational framework for ESP. Innovatively combining programmable metasurfaces, holographic MIMO, and near-field beamforming, ESP enables direct radio-frequency/analog-domain manipulation of electromagnetic wavefronts for information processing. This approach drastically reduces the number of RF chains, significantly lowering system energy consumption and latency while enhancing both spectral and energy efficiency. The proposed hardware-algorithm co-design architecture is practically deployable, offering an original, sustainable technological pathway toward 6G.

Technology Category

• Machine Learning: Hardware-aware ML
• Cognitive Modeling & Cognitive Systems: Neural Spike Coding
• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Data management and stream processing for Web, mobile and wireless applications
• User Modeling, Personalization and Recommendation: On-Device user modeling, personalization, and recommendation
• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems

Abstract

This article provides a tutorial on over-the-air electromagnetic signal processing (ESP) for next-generation wireless networks, addressing the limitations of digital processing to enhance the efficiency and sustainability of future 6th Generation (6G) systems. It explores the integration of electromagnetism and signal processing (SP) highlighting how their convergence can drive innovations for 6G technologies. Key topics include electromagnetic (EM) wave-based processing, the application of metamaterials and advanced antennas to optimize EM field manipulation with a reduced number of radiofrequency chains, and their applications in holographic multiple-input multiple-output systems. By showcasing enabling technologies and use cases, the article demonstrates how wave-based processing can minimize energy consumption, complexity, and latency, offering an effective framework for more sustainable and efficient wireless systems. This article aims to assist researchers and professionals in integrating advanced EM technologies with conventional SP methods.

Problem

• Addressing digital processing limitations for 6G efficiency
• Integrating electromagnetism and signal processing for 6G innovations
• Optimizing EM field manipulation with metamaterials and antennas

Innovation

• Over-the-air electromagnetic signal processing for 6G
• Metamaterials and advanced antennas optimize EM manipulation
• Wave-based processing reduces energy consumption and latency