Price-Driven Economic Cache Content Nash Bargaining Game in Wireless Multimedia Resource Allocation

In this paper, we propose a price-driven Nash Bargaining game solution to maximize Quality of Experience (QoE) with cache content optimization in wireless multimedia communications. By leveraging the cached multimedia content and the Smart Media Pricing (SMP) concept through device-to-device (D2D) communications, the economic-quality equilibrium is established between Service Provider (SP) and End Devices (EDs). The contribution of this paper is as follows. First, referring to the importance of multimedia packets, we develop a price-driven method to allocate cached multimedia resource on the seller EDs. Then a Nash Bargaining game is formulated between the seller and buyer EDs considering multimedia packet importance and content popularity. Referring to the two-player Nash Bargaining game theoretic model, a buying-caching-reselling strategy for multimedia content is proposed by deriving the Nash Bargaining Solution (NBS). Simulation results demonstrate that the proposed SMP cache allocation method has high efficiency and fairness in quality-driven wireless multimedia communications, leading to desirable utilities towards Pareto optimality.