山东移动泰安分公司创新“双路径法”，信号盲区精准“画像”

Core Viewpoint - Shandong Mobile Tai'an Branch has implemented an innovative strategy using "NGI + Vehicle Networking Big Data" to identify network coverage gaps in various scenarios, enhancing network optimization efforts [1][2] Group 1: Network Coverage Optimization - The company has identified weak coverage areas in complex structures like residential areas, large shopping malls, and office buildings using traditional MR/OTT big data methods [1] - Traditional methods face limitations in completely disconnected coverage gaps, particularly in underground parking lots [1] - A technical task force was established to address these coverage gaps by introducing vehicle networking technology, creating a dynamic assessment system for network coverage in parking scenarios [1] Group 2: Methodology and Results - The new methodology allows for precise inference of coverage status in parking areas by analyzing signal strength and location data from vehicles entering and exiting these zones [1] - This approach has successfully evaluated over 900 suspected underground coverage blind spots, achieving an accuracy rate of over 90% [1] - The strategy not only identifies coverage gaps in traditional and parking scenarios but also offers a replicable and scalable path for network optimization, contributing to improved communication service experiences [2]