Fuzzy Logic Inference System for Quality of Experience Modeling for LTE Video Streaming: Case of Addis Ababa LTE Network

Abstract

Nowadays, video streaming has become one of the most dominant services due to increasing interest in watching online television programs and video on demand. Providing this service requires a high speed and high capacity network infrastructure. In this work, we propose quality of experience (QoE) model using fuzzy logic inference system for video streaming services. The proposed model is used to measure the user perception from quality of service (QoS) parameters. The model is essential to replace conventional subjective measurement techniques that are costly and inefficient. In addition, the proposed model is helpful for business decision making, network planning, optimization and operational support activities. The result analysis shows that the stall frequency and the start delay play a major impact on user perception by 33 % and 25 %, respectively. Besides, validation of the results shows that the proposed model is accurate, consistent and linear compared to currently existing models.