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

Project manager on the customer side
Stanislav Streltsov
Chief Data and Analytics Officer
Year of project completion
Project timeline
July, 2022 - September, 2023
Project scope
3600 man-hours

  • 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.

Project Results

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.

The uniqueness of the project

Dynamic re-evaluation: As data changes over time, the algorithm recalibrates recommendations.

Predictive Analysis: Forecasting future 5G uptake based on current trends.

Used software
Big data from various company's systems.
Difficulty of implementation
Computational costs
Project Description

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.

Project geography
Whole country (Kazakhstan).
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