Adaptive Resource Sharing Algorithm for Device-to-Device Communications Underlaying Cellular Networks

Device-to-device (D2D) communication underlaying cellular networks allows closely located user equipments (UEs) to communicate directly by sharing the radio resources assigned to cellular UEs (CUEs). The case of multiple D2D-UEs (DUEs) sharing the same channel while each DUE can reuse multiple channels is considered. In this letter, two phases-based resource sharing algorithm is designed in such a way that its computational complexity can be adapted according to the network condition. The initial set of candidate channels that can be reused by each DUE is adaptively determined in the first phase. In the second phase, Lagrangian dual decomposition is used to determine the optimal power for DUEs that maximizing the network sum-rate. Simulation results show that the proposed algorithm can offer near-optimal performance and outperforms the comparable algorithms especially in terms of achievable throughput even with markedly reduced complexity levels.