Guided Wireless Technology for Near-Field Communication

2026-02-24

AI Summary

This study addresses the challenges of unreliable and low-rate transmission in near-field wireless communication, where conventional systems suffer from severe interference and attenuation. To overcome these limitations, the work introduces guided-wave mechanisms into near-field communication for the first time and proposes a circuit-based modeling approach using a periodically fed long linear array. The guided channel is characterized by an infinitely long multi-fed dipole model, while a finite array is approximated under open-circuit boundary conditions. Integrated with LMMSE beamforming, the framework enables adaptive power allocation and robust interference suppression. Simulations demonstrate that the proposed method effectively mitigates interference, reduces mean squared error, and significantly improves rate fairness among users. Furthermore, the analysis reveals an oscillatory impact of standing wave effects on spectral efficiency.

Technology Category

• Cognitive Modeling & Cognitive Systems: Neural Spike Coding
• Multiagent Systems: Agent Communication
• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• User Modeling, Personalization and Recommendation: On-Device user modeling, personalization, and recommendation
• Security and Privacy: Large-scale security measurements

Abstract

Guided wireless technology is an innovative approach that combines the strengths of guided waves and wireless communication. In traditional wireless systems, signals propagate through the air, where they are vulnerable to interference, attenuation, and jamming. Guided communication, in contrast, confines signals within a physical medium, significantly reducing interference and supporting higher data rates over longer distances. Guided wireless technology harnesses these benefits by creating guided wireless channels and offering a controlled pathway for electromagnetic waves. This work harnesses these benefits by focusing on the modeling of near-field communication through long connected arrays deployed in linear-cell environments. We derive a circuit model for long array as an infinitely long dipole with multiple periodic feed points before approximating it with a finite array through open circuiting. Through our simulations, we show how the standing wave phenomenon is confirmed by the oscillations in spectral efficiency. We also demonstrate the capability of the LMMSE transmit beamformer in mitigating interference and minimizing the mean square error by adaptively allocating more power to the user experiencing the most severe channel attenuation, resulting in a more balanced variation of achievable rates across users.

Problem

• near-field communication
• guided wireless technology
• interference mitigation
• channel modeling
• spectral efficiency

Innovation

• guided wireless technology
• near-field communication
• LMMSE beamforming
• standing wave
• circuit modeling