Dynamic Repositioning of Aerial Base Stations for Enhanced User Experience in 5G and Beyond

Area of Science:

• Telecommunications Engineering
• Wireless Communication Systems
• Network Optimization

Background:

• Ultra-dense deployment (UDD) of small cells in 5G networks faces challenges due to fluctuating user densities, leading to resource underutilization and capital waste.
• Static small cell placements are inefficient as they cannot adapt to dynamic user distribution, impacting network performance and user satisfaction.

Purpose of the Study:

• To propose and evaluate a dynamic deployment strategy for small cells using Aerial Base Stations (ABSs) mounted on Unmanned Aerial Vehicles (UAVs).
• To optimize the placement of ABSs to maximize total received power and signal-to-interference ratio based on real-time user densities.

Main Methods:

• Formulation of optimal placement problems to enhance received power and signal-to-interference ratio.
• Development of solutions to compute optimal ABS candidate locations dynamically based on current user densities.
• Simulation of the proposed dynamic ABS deployment strategy.

Main Results:

• Optimal placement of Aerial Base Stations (ABSs) can achieve a 22% or more increase in total received power.
• Over 60% of users experience an improved individual received power (more than 80% chance).
• The dynamic placement strategy effectively adapts to changing user densities, enhancing network efficiency.

Conclusions:

• Aerial Base Stations (ABSs) mounted on UAVs provide a flexible and efficient solution for optimizing 5G network capacity and data rates.
• Dynamic, user-density-aware placement of ABSs significantly improves network performance metrics, including received power and signal quality.
• This adaptive approach mitigates issues associated with static deployments, leading to better resource utilization and user experience.