Quality of Service Assessment Using Crowdsourcing and Its Efficacy with Respect to Conventional Drive Testing

As the demand for high-quality mobile network connectivity intensifies, telecom network engineers increasingly seek innovative approaches for Quality of Service (QoS) assessment. This research paper investigates the efficacy of crowdsourcing techniques in evaluating QoS and compares these methods with the traditional drive testing approach. The study is guided by clear objectives and research questions that address the operational, geographical, temporal, and technological boundaries of contemporary telecom networks. By employing crowdsourced data from user mobile devices alongside conventional drive test measurements, the study evaluates data quality, spatial-temporal resolution, and cost-effectiveness. Findings suggest that while drive testing offers controlled and standardized measurements, crowdsourcing provides extensive coverage, tapping into diverse user environments that capture authentic network performance variations. The paper concludes by discussing the potential for hybrid methodologies, integrating both approaches, and lays a roadmap for further research that can refine QoS assessment practices in telecom