Adaptive Video Streaming in Virtual Reality Environments: Mathematical Models for Immersive Experiences with 360-Degree Content and Head Movement Prediction

As virtual reality (VR) continues to revolutionize the digital landscape, the demand for high-quality and immersive video streaming experiences within these environments becomes paramount. This review paper delves into the realm of adaptive video streaming in VR, focusing on the development and application of mathematical models tailored for optimal performance. Addressing unique challenges such as 360-degree content and accurate head movement prediction, this paper surveys existing adaptive streaming models, evaluates their effectiveness in VR scenarios, and explores the integration of user-centric factors for an enhanced experience. Through a comprehensive analysis, we identify key trends, gaps, and future directions in the field, providing insights for researchers, developers, and practitioners striving to elevate the quality of adaptive video streaming in virtual reality environments.