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An Adaptive TTT Handover (ATH) Mechanism for Dual Connectivity (5G mmWave-LTE Advanced) during Unpredictable Wireless

Vigneswara Rao Gannapathy1,2, Rosdiadee Nordin1, Asma Abu-Samah1

  • 1Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia.

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Summary

Fifth Generation (5G) millimeter wave (mmWave) networks face connection issues due to signal blockage. An Adaptive TTT Handover mechanism improves 5G mmWave network performance by dynamically adjusting handover parameters based on signal quality.

Keywords:
5G mmWaveNetwork Simulator 3 (NS3)Time-to-Trigger (TTT)dual-connectivityhandoverhandover margin (HOM)latencymulti-RATthroughput

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Area of Science:

  • Wireless communication networks
  • Mobile computing
  • Signal processing

Background:

  • Fifth Generation (5G) millimeter wave (mmWave) signals are susceptible to blockage, leading to connection failures for User Equipment (UE).
  • Dual connectivity (DC) networks mitigate intermittency by connecting UE to LTE and 5G mmWave simultaneously.
  • Inefficient handovers between 5G mmWave base stations degrade performance, especially in dense, obstacle-rich environments.

Purpose of the Study:

  • To propose an Adaptive TTT Handover (ATH) mechanism to address unpredictable and intermittent 5G mmWave channel behaviors.
  • To develop an adaptive algorithm that dynamically adjusts handover control parameters, specifically Time-to-Trigger (TTT), based on real-time channel conditions.

Main Methods:

  • Developed an adaptive algorithm to adjust the Time-to-Trigger (TTT) based on Signal-to-Interference-Noise Ratio (SINR) measurements.
  • Tested the ATH mechanism using a 5G mmWave statistical channel model incorporating fading and Doppler effects.
  • Evaluated performance using Network Simulator 3 (NS3), analyzing handover probability, latency, and throughput.

Main Results:

  • The proposed Adaptive TTT Handover (ATH) mechanism demonstrated excellent performance in simulations.
  • ATH significantly improved handover efficiency compared to conventional handover methods.
  • The adaptive algorithm effectively managed dynamic channel conditions in 5G mmWave networks.

Conclusions:

  • The ATH mechanism provides a robust solution for maintaining stable 5G mmWave connectivity.
  • Dynamic adjustment of handover parameters is crucial for optimizing performance in challenging wireless environments.
  • This research contributes to enhancing the reliability and efficiency of 5G mmWave communication.