用优化方法预测信号强度，减少昂贵的路测次数。
Predicting Drive Test Results in Mobile Networks Using Optimization Techniques
- 基于已有路测点数据，通过优化技术预测其他位置信号
- 可显著降低路测频次与成本，提升网络优化效率
- 适合需要频繁优化覆盖的运营商和网络规划团队
移动网络运营商需持续优化网络以保障服务质量与覆盖范围，这依赖大量数据采集与分析。主要手段是路测——技术人员使用专用设备在各地收集信号数据。但路测成本高、耗时长，且受交通、环境及部分区域无法进入等因素影响，难以重复相同条件测试。本文提出一种新方法，利用其他路测点的数据，预测特定位置的接收信号强度。该方法可大幅减少路测需求，节省时间与资源，同时保证网络优化所需数据获取，有效缓解传统路测的局限性。
原文摘要 · Abstract (English)
Mobile network operators constantly optimize their networks to ensure superior service quality and coverage. This optimization is crucial for maintaining an optimal user experience and requires extensive data collection and analysis. One of the primary methods for gathering this data is through drive tests, where technical teams use specialized equipment to collect signal information across various regions. However, drive tests are both costly and time-consuming, and they face challenges such as traffic conditions, environmental factors, and limited access to certain areas. These constraints make it difficult to replicate drive tests under similar conditions. In this study, we propose a method that enables operators to predict received signal strength at specific locations using data from other drive test points. By reducing the need for widespread drive tests, this approach allows operators to save time and resources while still obtaining the necessary data to optimize their networks and mitigate the challenges associated with traditional drive tests.
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