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INTERFERENCE-AWARE RESOURCE ALLOCATION FOR DEVICE-TO-DEVICE COMMUNICATION IN 5G H-CRAN NETWORKS

摘要


Both heterogeneous cloud radio access networks (H-CRAN) and device-to-device (D2D) communication are promising new paradigms to improve the network throughput and spectral efficiency. However, no D2D resource allocation schemes are proposed for H-CRAN whose architecture is totally different from existing LTE Advanced cellar network and where more than one D2D pairs are allowed to share the resource blocks (RBs) of one cellular user equipment (CUE). To address this problem, we study the uplink resource allocation problem in H-CRAN for D2D communications. We first analyze the interference scenario and formulate the resource allocation problem into a NP-hard optimization problem. Then a throughput aware maximum association (TAMA) algorithm and a channel condition aware maximum association (CCAMA) algorithm are introduced to solve the proposed problem. Numerical results demonstrate that the proposed algorithms can improve the system performance in terms of data rate and throughput.

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