Admission control for wireless adaptive HTTP streaming: An evidence theory based approach

In this research, we propose an evidence theory based admission control scheme for wireless cellular adaptive HTTP streaming systems. This novel scheme allows us to effectively address the uncertainty and inaccuracy in QoE management and network estimation, and seamlessly grant or deny the access requests. Specifically, based on recent work of QoE continuum model and QoE continuum driven adaptation algorithm, we utilize Dempster-Shafer evidence theory to assign proper degree of belief to admission, rejection and an uncertainty decision for each user's evidence. We then can strategically combine the weighted evidence of multiple users and make the final decision. The evaluation results show that the proposed scheme can provide satisfactory QoE for both existing and new users while still achieving comparable bandwidth efficiency.