Fair Joint Optimization of QoE and Energy Efficiency in Caching Strategy for Videos

With the growth of video traffic in wireless networks, content distribution network and mobile edge computing technology are regarded as effective solutions to this challenge, among which the problem of caching strategy is an important research content. Facing different application scenarios and requirements, design caching Different optimization objectives will be considered in the strategy. This paper focuses on the fairness of the two optimization objectives. For video service providers, user satisfaction (Quality of Experience, QoE) reflects the quality of the service, while energy efficiency reflects the Cost-effectiveness and energy-saving metrics. When designing a caching strategy, since it is not clear which objective has higher priority, they need to be fairly optimized. First, two important objectives for the caching strategy problem (QoE and energy efficiency) Mathematical modeling is carried out, and the principle of fairness is proposed. Then, these two optimization objectives are used as game ob