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Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
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Aluminum has become the material of choice for overhead transmission lines, surpassing copper due to its abundance and cost-effectiveness. The most prevalent type is the aluminum conductor, steel-reinforced (ACSR), which combines aluminum strands around a steel core. Other variants include all-aluminum conductors (AAC), all-aluminum alloy conductors (AAAC), aluminum conductor alloy-reinforced (ACAR), and aluminum-clad steel conductors. Advanced designs, such as aluminum conductors with steel...
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Handover Parameters Optimisation Techniques in 5G Networks.

Wasan Kadhim Saad1,2, Ibraheem Shayea2, Bashar J Hamza1

  • 1Engineering Technical College-Najaf, Al-Furat Al-Awsat Technical University (ATU), Najaf 31001, Iraq.

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|August 10, 2021
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Summary
This summary is machine-generated.

Optimizing handover control parameters (HCP) is crucial for stable 5G mobile network connections. Medium HCP settings offer a balance between outage and ping-pong handover probabilities, enhancing user experience.

Keywords:
fifth generation (5G)handover (HO)handover control parameters (HCP)handover parameters optimisation (HPO)load balancing (LB)sixth generation (6G) networks

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Area of Science:

  • Telecommunications Engineering
  • Mobile Network Performance
  • Wireless Communication Systems

Background:

  • The proliferation of mobile users and small cells in 5G networks increases handover scenarios.
  • Ensuring stable user equipment (UE) mobility is a significant challenge in next-generation mobile networks.
  • Suboptimal handover control parameter (HCP) settings can degrade 5G network performance.

Purpose of the Study:

  • To investigate the impact of various HCP settings on 5G network performance.
  • To analyze the trade-offs between different HCP configurations under varying mobile speeds.
  • To identify optimal HCP settings for enhanced user experience in 5G networks.

Main Methods:

  • Simulations were conducted using MATLAB to evaluate system scenarios.
  • Performance was assessed based on handover probability (HOP), ping-pong handover probability (PPHP), and outage probability (OP).
  • The 5G network framework was utilized for scenario evaluation across different mobile speeds.

Main Results:

  • Lower HCP settings improve outage probability (OP) but increase ping-pong handover probability (PPHP).
  • Higher HCP settings reduce PPHP but negatively impact OP.
  • A trade-off exists between OP and PPHP, influenced by HCP settings and mobile speed.

Conclusions:

  • Medium HCP settings present a potential compromise for balancing network performance.
  • Automatic self-optimization (ASO) functions are recommended for superior user experience.
  • Effective HCP management is vital for reliable 5G mobility and performance.