Abstract

As the telecommunications industry transitions into the 6G era, IMS-based voice services are evolving beyond traditional SIP-based session control to accommodate new paradigms in emergency response, enterprise automation, and intelligent service orchestration. This paper outlines the architectural, operational, and AI-driven advancements shaping the next generation of voice services—such as AI-assisted call handling, 911 prioritization, Wireless Priority Services (WPS), and policy-based business call connect. By integrating AI inference engines into the IMS core and leveraging predictive analytics for call session election, this research introduces novel methodologies for dynamic session control. The work further presents three patented mechanisms developed by the authors: Circuit Switched (CS) Selection Optimization, TADS Skip Logic for Call Path Reduction, and Voice Termination Election Logic—each contributing to faster, more reliable, and intelligent call setup in the evolving IMS and 6G environment

Keywords

  • IP Multimedia System (IMS)
  • Voice over IP (VoIP)
  • Video over IP
  • WPS wireless priority services
  • TADS Terminating domain selection
  • Network Slicing
  • Rich Communication Services (RCS)
  • Cloud Platforms
  • Dynamic Scaling
  • Predictive Analytics
  • Machine Learning (ML)
  • Random Cut Forest (RCF)
  • Boost
  • K-Nearest Neighbors (KNN)
  • R² (Coefficient of Determination)
  • Mean Squared Error (MSE)
  • Root Mean Squared Error (RMSE)
  • SIP Error Codes
  • Call Success Rate
  • Call Drop Rate
  • Registration Success Rate
  • Scam Call Detection
  • Voicemail Frequency
  • Network Congestion
  • Latency Forecasting
  • CI/CD Deployment Pipelines
  • Adaptive Network Configuration
  • Automated Resource Management component
  • formatting
  • style
  • styling
  • insert (key words).

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