Predicting Drive Test Results in Mobile Networks Using Optimization Techniques

• DOI: 10.48550/arxiv.2502.09305
• Publication Date: 2025-02-13
• Authors: M Taheri; Abolfazl Diyanat; Mansoureh Shahria...; Ali Nazari
• Keywords: Computer Science - Networking and Internet Architecture; Networking and Internet Architecture (cs.NI); Software Engineering (cs.SE); FOS: Computer and information sciences; Computer Science - Software Engineering; Artificial Intelligence (cs.AI); Computer Science - Artificial Intelligence

Mobile network operators constantly optimize their networks to ensure superior service quality and coverage. This optimization is crucial for maintaining an optimal user experience requires extensive data collection analysis. One of the primary methods gathering this through drive tests, where technical teams use specialized equipment collect signal information across various regions. However, tests are both costly time-consuming, they face challenges such as traffic conditions, environmental factors, limited access certain areas. These constraints make it difficult replicate under similar conditions. In study, we propose a method that enables predict received strength at specific locations using from other test points. By reducing need widespread approach allows save time resources while still obtaining necessary mitigate associated with traditional tests.