Reliable Data Serving for Data-Driven Decision-Making in Radio Networks: A Data-Centric Approach to Stream Quality Validation

The new generation of mobile technology offers highly reliable and superior data communication services such as IP TV, Gaming, Industrial IoT, and other mission-critical solutions. Continuous monitoring and optimisation of the radio network plays a critical role in data network service quality assurance. Today, Network Key Performance Indicator (KPI) data is being used to assess the performance of network quality and the various services quality it offers. Hence, the quality of KPI data cannot be compromised and it requires careful data quality validations and corrective measures. Continuous monitoring and maintaining the network KPI data integrity, completeness, accuracy, and timeliness quality dimensions when evaluating the wireless network's performance is critical for achieving efficient network optimisations. This paper proposes an innovative and allencompassing method for verifying the quality of streaming KPI data, emphasising data integrity. The proposed solution provides a native, resource-efficient, and faster method that facilitates a real-time validation and imputation of 5G network KPIs, thereby enhancing the overall quality of wireless communication systems.