Time-varying Social-aware Resource Allocation for Device-to-Device Communication

• 1、State Key Laboratory of Wireless Network, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876

Abstract：With the rapid development of wireless mobile communication, local content sharing has become the emerging demand for users who are geographically close. Device-to-device (D2D) communication allows two users to communicate directly with each other. In order to achieve more effective content distribution and content spread by allocating better spectrum resources to users with better social networking and content diffusion capabilities, an optimization scheme is proposed for resource allocation of D2D communication. Considering the time-varying property of social relations, the auto-regressive integrated moving average (ARIMA) model is applied to map the call records into time sequence to predict users\' social relations. Besides, instead of individual utility or the overall network utility, each user aims to maximize its social-community utility. Potential game is utilized to solve the social-community utility maximization problem of resource allocation for D2D communication. Finally, a social-aware distributed resource allocation algorithm is proposed, and the effectiveness and stability of the algorithm are demonstrated through simulations.?????

Keywords： Device-to-Device communication social relations resource allocation potential game