QoE- Driven Tactile Internet: Scenario, Architecture and Analysis

Tactile Internet, as the advancement of fifth generation (5G) mobile communication, enables users to interact with remote environment and gives users tactile sense across long distances. Tactile Internet achieves the evolution of object perception mode and has broad commercial prospects, such as telesurgery and intelligent transportation. However, it also puts forward to higher requirements, such as lower delay and higher reliability. How to achieve ultra-reliable low-latency transmission has become a significant technical challenge. To get over this dilemma, we first introduce a mobile edge computing (MEC) computation offloading architecture in the Tactile Internet scenario. Then the quality of experience (QoE) maximization problem in the MEC computing offloading architecture under binary computing mode is studied, subject to the constraints of delay and reliability. The closed-form expressions of QoE and end-to-end (E2E) delay for tactile users are derived. Subsequently, an optimal user computing mode selection and a computing resource allocation scheme is proposed. Offloading Decision (OD) and Computing Resource Allocation (CRA) algorithms are, respectively, proposed for solving the formulated problem. The simulation results prove the superiority of our proposed scheme to reduce E2E delay and improve users' QoE while ensuring reliability requirements.