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Resource Allocation Schemes Based on Intelligent Optimization Algorithms for D2D Communications Underlaying Cellular Networks

机译:基于智能优化算法的资源分配方案,用于D2D通信底层蜂窝网络

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摘要

In this paper, the resource allocation problem for device-to-device (D2D) communications underlaying cellular networks is formulated and analyzed. In our scenario, we consider that the number of D2D user equipment (DUE) pairs is far larger than that of cellular user equipments (CUEs). Meanwhile, the resource blocks are divided into two types: resource blocks for CUEs and the ones for CUEs and DUEs. Firstly, the system model is presented, and the resource allocation problem is formulated. Then, a resource allocation scheme based on the genetic algorithm is proposed. To overcome the problem that the dedicated resource is not fully shared in the genetic algorithm, an improved harmony search algorithm is proposed for resource allocation. Finally, the analysis and simulation results show that the performances of the proposed genetic algorithm and the improved harmony search algorithm outperform than that of the random algorithm and are very close to that of the exhaustive algorithm. This result can provide an effective optimization for resource allocation of D2D communications.
机译:在本文中,制定和分析了用于设备到设备(D2D)通信的资源分配问题并分析介绍蜂窝网络。在我们的场景中,我们认为D2D用户设备(DUE)对的数量远远大于蜂窝用户设备(提示)的数量。同时,资源块分为两种类型:用于提示和提示和会费的线索的资源块。首先,提出了系统模型,并制定了资源分配问题。然后,提出了一种基于遗传算法的资源分配方案。为了克服专用资源在遗传算法中不完全共享的问题,提出了一种改进的和声搜索算法来进行资源分配。最后,分析和仿真结果表明,所提出的遗传算法的性能和改进的和声搜索算法优于随机算法的性能,并且非常接近详尽算法。该结果可以为D2D通信的资源分配提供有效优化。

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