Optimizing 5G Base Station Placement Using Multiple-Criteria Decision Analysis (MCDA)

• High Capital Expenditure: Deploying 5G technology comes at a significant cost, including replacing or upgrading existing 4G infrastructure.
• Operational Complexity: The decision-making process for station placement needs to consider multiple variables like traffic volume, existing user behavior, technological adaptability, etc.
• Sustainability: The energy demands of 5G are significantly higher, making it essential to optimize for energy efficiency.
• Quality of Service: Balancing the demands of existing 4G subscribers with the expectations of newer 5G subscribers is a challenging task.

Tangible Measurements

• 8% reduction in CAPEX through optimized placement.
• 5% increase in efficiency by reducing energy consumption.
• 5% increase in ROI through a more efficient deployment strategy.

Harness the power of Multiple-criteria decision analysis (MCDA) to evaluate potential 5G mobile station placements. By focusing on parameters like traffic volume, subscriber count, 5G device prevalence, user activity, and 5G-generated traffic, we can determine the most effective transition points.

Design Principles:
• Data-driven decision-making: Prioritize decisions based on real-world data.
• Scalability: Ensuring that the solution can adapt to future technological advancements.
• Customer-centric: Prioritize areas with high 5G device usage to cater to demand.