Adaptive layered Segment Algorithm for media delivery over 4G LTE wireless cellular networks

Advances in wireless communications and mobile networking have dramatically increased the popularity of media services for mobile users, with video delivery at their fingertips. Delivering high perceptual quality video over 4G LTE wireless cellular networks is challenging due to the changing channel quality and the variations in the importance of one source packet to the next for the end-user´s quality of experience. Therefore, new video transmission paradigms are required that make media-aware scheduling and resource allocation decisions at the level of the codec and the radio to optimize perceived video quality and minimize server/ network load and decoder´s buffer requirements. This paper proposes a layered Segment Algorithm for media delivery over 4G LTE Wireless Networks, which aims to address the problem of multi-user radio resource management and users decoding capabilities with various buffer requirements. Simulations demonstrate that the proposed Layered Segment Algorithm adapts effectively to bandwidth variations, packet loss and buffer requirements. Moreover it achieves superior performance over conventional schemes that require proportional media content scheduling on the network paths according to their available bandwidth.