Game-Theoretic Social-Aware Resource Allocation for Device-to-Device Communications Underlaying Cellular Network

Abstract EN

Device-to-Device communication underlaying cellular network can increase the spectrum efficiency due to direct proximity communication and frequency reuse.

However, such performance improvement is influenced by the power interference caused by spectrum sharing and social characteristics in each social community jointly.

In this investigation, we present a dynamic game theory with complete information based D2D resource allocation scheme for D2D communication underlaying cellular network.

In this resource allocation method, we quantify both the rate influence from the power interference caused by the D2D transmitter to cellular users and rate enhancement brought by the social relationships between mobile users.

Then, the utility function maximization game is formulated to optimize the overall transmission rate performance of the network, which synthetically measures the final influence from both power interference and sociality enhancement.

Simultaneously, we discuss the Nash Equilibrium of the proposed utility function maximization game from a theoretical point of view and further put forward a utility priority searching algorithm based resource allocation scheme.

Simulation results show that our proposed scheme attains better performance compared with the other two advanced proposals.