AI-ORCHESTRATED 6G COMMUNICATION FRAMEWORK WITH QUANTUM-RESILIENT ENCODING AND RECONFIGURABLE SURFACE-ASSISTED BEAMFORMING FOR ULTRA-LOW LATENCY ENVIRONMENTS

The sixth generation (6G) of wireless communication is expected to drive unprecedented advancements in latency-sensitive applications such as holographic telepresence, real-time brain-computer interfaces, and autonomous systems. This paper proposes a novel AI-orchestrated 6G framework that integrates quantum-resilient encryption and intelligent reconfigurable surface (IRS)-assisted beamforming. The proposed architecture is designed to minimize latency while maintaining quantum-safe data integrity. It combines federated AI control with zero-trust networking protocols and a lattice-based encryption mechanism to ensure low-latency, secure, and adaptive communications in dynamic environments. The system's viability is validated through simulations using stochastic channel modeling and real-time path optimization via reinforcement learning agents.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-18
DOI
https://doi.org/10.5281/zenodo.15689071
Primary Topic
Advanced Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-ORCHESTRATED 6G COMMUNICATION FRAMEWORK WITH QUANTUM-RESILIENT ENCODING AND RECONFIGURABLE SURFACE-ASSISTED BEAMFORMING FOR ULTRA-LOW LATENCY ENVIRONMENTS

Zenodo (CERN European Organization for Nuclear Research)
Advanced Wireless Communication Technologies
article

AI-ORCHESTRATED 6G COMMUNICATION FRAMEWORK WITH QUANTUM-RESILIENT ENCODING AND RECONFIGURABLE SURFACE-ASSISTED BEAMFORMING FOR ULTRA-LOW LATENCY ENVIRONMENTS

article en

Abstract

The sixth generation (6G) of wireless communication is expected to drive unprecedented advancements in latency-sensitive applications such as holographic telepresence, real-time brain-computer interfaces, and autonomous systems. This paper proposes a novel AI-orchestrated 6G framework that integrates quantum-resilient encryption and intelligent reconfigurable surface (IRS)-assisted beamforming. The proposed architecture is designed to minimize latency while maintaining quantum-safe data integrity. It combines federated AI control with zero-trust networking protocols and a lattice-based encryption mechanism to ensure low-latency, secure, and adaptive communications in dynamic environments. The system's viability is validated through simulations using stochastic channel modeling and real-time path optimization via reinforcement learning agents.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 56%
Advanced Wireless Communication Technologies
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AI-ORCHESTRATED 6G COMMUNICATION FRAMEWORK WITH QUANTUM-RESILIENT ENCODING AND RECONFIGURABLE SURFACE-ASSISTED BEAMFORMING FOR ULTRA-LOW LATENCY ENVIRONMENTS · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS