Channel Aware/Buffer Aware Adaptive Video Quality Scaling Algorithm for LTE Networks

Video-on-Demand (VoD) and video conferencing over wireless broadband networks require optimal dynamic resource allocation to accommodate the time-varying wireless channel and video content conditions.In order to enhance the system performance with time-varying wireless channel, Long Term Evolution (LTE) adopts Adaptive Modulation and Coding (AMC) schemes which dynamically adjust the Modulation and Coding Schemes (MCS) in accordance with the reception conditions to achieve higher throughput.Also in LTE network, as the number of multimedia users increase, bandwidth becomes scarce.Due to this, number of Packets received per user decreases and delay increases which leads to reduction in Quality of Experience (QoE) for end users.Hence in order to enhance the QoE, this paper presents a novel adaptive video quality scaling algorithms namely Channel Aware Adaptive Video Quality Scaling (CAVQS) algorithm and Buffer Aware Adaptive Video Quality Scaling algorithm (BAVQS).The proposed CAVQS and BAVQS algorithms adapt video packet size based on radio reception condition of the UEs and Packet Delivery Rate (PDR) at the received buffer of the UE respectively.These adaptive algorithms offer tailored solutions to the challenges posed by bandwidth scarcity and dynamic wireless channel conditions in LTE networks.