Dynamic Context-Aware Optimization of D2D Communications

As one of the key technologies for next generation wireless communication systems, Device-to-Device (D2D) communication is able to offer several benefits, e.g. low end-to-end latency and traffic offload. In particular network controlled D2D operation underlaying the primary cellular system, e.g. LTE, and reusing its radio resources, is seen as an appealing option for increasing system capacity. However, a D2D link that reuses radio resources of another link introduces mutual interference in between these two links. In this paper, we firstly propose a network controlled radio resource management (RRM) algorithm that maximizes overall user satisfaction with the assistance of context information. The task of the algorithm is to decide on appropriate operation mode and allocate radio resources to both cellular and D2D links with respect to their channel state information (CSI) and service requirements. Furthermore, the RRM algorithm is extended to account for link priority information. Simulation results demonstrate the substantial performance improvement of our smart algorithm compared with a partial smart algorithm in terms of links satisfaction ratio.