AI-Enhanced ۵G-R Architecture for Adaptive Connectivity and Security in High-Mobility Rail Environments

  • سال انتشار: 1404
  • محل انتشار: کنفرانس بین المللی هوش مصنوعی و فناوری های مرتبط
  • کد COI اختصاصی: ICIRT01_023
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 14
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نویسندگان

Shahpour Rahmani

School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, IRAN

Nasser Yazdani

School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, IRAN

چکیده

Modern high-speed rail systems require ultra-reliable, low-latency, and secure wireless connectivity to ensure operational safety and high-quality passenger services at velocities exceeding ۳۰۰ km/h. Existing technologies such as Global System for Mobile communications-Railway (GSM-R) and Long Term Evolution-Railway (LTE-R) fail to maintain seamless handovers, adaptive resource management, and adequate protection against dynamic threats. This paper proposes an AI-enhanced and security-aware fifth generation for Railway (۵G-R) architecture that integrates recurrent neural network (RNN)-based mobility prediction, dynamic resource partitioning, Multi-access Edge Computing (MEC), and a Secure Connectivity Layer (SCL) for real-time optimization. The system continuously predicts train velocity and signal variations to proactively allocate network slices and pre-configure handovers across edge nodes. Federated learning synchronizes local MEC models with a global cloud controller, enabling continual adaptation to changing conditions. Simulation and field evaluations conducted along a ۱۷۴ km railway segment achieved throughput up to ۲۴۰ Mbps, latency below ۲۰ ms, and ۹۴% handover success, while introducing only ۳.۷% security overhead. Results confirm that Artificial intelligence (AI)-driven resource control and MEC-assisted execution significantly enhance the reliability, continuity, and resilience of ۵G-R communications under high mobility.

کلیدواژه ها

AI-based mobility prediction, MEC, dynamic resource allocation, network slicing, secure ۵G-R connectivity

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