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| In this paper, we investigate the resource allocation problem among multiple cellular users and multiple D2D pairs to optimize the system capacity performance. We study the resource allocation involving resource block (RB) assignment and power allocation, which is difficult to tackle simultaneously. A two-phase resource allocation scheme is proposed to solve the problem. Firstly, an interference graph based heuristic clustering algorithm and a heuristic RB assignment algorithm are performed to realize the RB assignment. The multi-user interference is properly coordinated by clustering and appreciable system capacity is achieved by the RB assignment. Secondly, we assign different powers for all the users to explore a further capacity enhancement. We prove the concavities of the lower and upper bound of the optimization function, thus the power allocation problem becomes a convex optimization problem and we solve it with a low complexity gradient method. Finally, we present simulation results to verify the proposed scheme. It is shown that, with remarkably reduced complexity, our proposed two-phase scheme achieves a near-optimal performance in terms of the system capacity. |
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| Keywords:capacity enhancement; D2D; interference graph; resource allocation |
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