Quantum-Assisted MIMO-OFDM Framework for Ultra-Reliable Low-Latency Communications in 6G IoT Networks

Paper ID: EIJTEM_2025_12_2_126-132

Author's Name: Dr.Arempula Sreenivasa Rao, Mr. Mogili Ravi, Dr. Cheedaragadda Surya Babu, Dr. R. Rambabu

Volume: 12

Issue: 2

Year: 2025

Page No: 126-132

Abstract:

The evolution toward sixth-generation (6G) networks demands a new communication paradigm capable of achieving sub-millisecond latency and ultra-high reliability for mission-critical Internet of Things (IoT) applications. This paper presents a Quantum-Assisted MIMO-OFDM framework that integrates quantum computing principles into the physical and edge layers of 6G IoT architectures to enhance Ultra-Reliable Low-Latency Communications (URLLC). The proposed system combines grant-free URLLC traffic modeling, Reconfigurable Intelligent Surfaces (RIS), and Edge Multi-Access Computing (MEC) with quantum-enhanced signal processing for optimal channel estimation, multi-user detection, and beamforming. A hybrid Quantum Approximate Optimization Algorithm (QAOA) and Variational Quantum Circuit (VQC) are utilized to minimize symbol detection errors and maximize spectral efficiency. The integration of digital twin analytics and reinforcement learning-based control loops ensures continuous adaptation of numerology, RIS configurations, and network slicing parameters. Simulation and analytical evaluation demonstrate that the proposed system achieves an end-to-end latency below 1 ms with reliability exceeding 99.999%, outperforming classical MIMO-OFDM schemes in dense IoT deployments. This quantum-driven communication model establishes a scalable and intelligent foundation for real-time, high-integrity 6G IoT ecosystems.

Keywords: 6G Networks; Ultra-Reliable Low-Latency Communication (URLLC); Quantum-Assisted MIMO-OFDM; Reconfigurable Intelligent Surface (RIS); Multi-Access Edge Computing (MEC)

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