Autors: Kougioumtzidis, G. V., Poulkov, V. K., Zaharis, Z.D., Lazaridis, P.I. Title: A Survey on Multimedia Services QoE Assessment and Machine Learning-Based Prediction Keywords: Extended reality; machine learning; multimedia services; QoE Abstract: The groundbreaking evolution in mobile and wireless communication networks design in recent years, in combination with the advancement of mobile terminal equipment capabilities, has led in an exponential growth of mobile internet technologies, and arose an ever-growing demand for innovative multimedia services. The highly demanding in terms of network resources over-the-top media services, as well as the emergence of new and complex mobile multimedia services such as video gaming, ultra-high-definition video, and extended reality, requires the enhancement of end-users' perceived quality of experience (QoE). QoE has garnered much research interest in recent years, and has emerged as a key component in the evaluation of network services and operations. As a result, a QoE-aware network planning approach is getting increasingly favored, and novel design challenges, such as how to quantify and measure QoE, have arisen.. References Issue
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