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Graph-based joint mode selection and resource allocation scheme for D2D and cellular hybrid network using SCMA

机译:基于SCMA的D2D和蜂窝混合网络基于图的联合模式选择和资源分配方案

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Enabling device-to-device (D2D) communication in cellular network is shown to be a promising candidate in the future fifth generation (5G) wireless network. Specifically, the hybrid architecture leads to flexible and efficient resource allocation for cellular users and D2D users, thereby enhancing utilization of spectrum resources. However, if not properly handled, mutual interference will be significantly raised with the proliferation of devices, which bottlenecks the performance of the hybrid system. In this paper, joint mode selection and resource allocation is considered for a sparse code multiple access (SCMA) enabled uplink cellular network. Targeting at maximizing system sum rate, we formulate a joint optimization problem, which, however, is shown to be a mixed-integer nonlinear programming (MINLP) problem. To solve the problem, we propose a graph-based joint mode selection and resource allocation (GMR) algorithm. GMR is an interference-aware algorithm. In particular, when GMR is applied, D2D users reuse SCMA resources only when the interference level to cellular users is below a predefined threshold. Otherwise, dedicated resources are allocated to D2D users to avoid the overwhelming mutual interference. Simulation results have confirmed the efficacy of GMR in enhancing spectrum efficiency and system sum rate in the hybrid system.
机译:在蜂窝网络中启用设备到设备(D2D)通信被证明是未来的第五代(5G)无线网络中有希望的候选者。具体而言,混合架构导致为蜂窝用户和D2D用户提供灵活高效的资源分配,从而提高频谱资源的利用率。但是,如果处理不当,则相互干扰将随着设备的激增而大大增加,这会阻碍混合系统的性能。在本文中,考虑了启用稀疏代码多址(SCMA)的上行链路蜂窝网络的联合模式选择和资源分配。针对最大化系统总和率,我们制定了一个联合优化问题,但是,该问题被证明是一个混合整数非线性规划(MINLP)问题。为了解决该问题,我们提出了一种基于图的联合模式选择和资源分配(GMR)算法。 GMR是一种可感知干扰的算法。特别地,当应用GMR时,D2D用户仅在对蜂窝用户的干扰水平低于预定义的阈值时才重用SCMA资源。否则,将专用资源分配给D2D用户,以避免压倒性的相互干扰。仿真结果证实了GMR在增强混合系统的频谱效率和系统求和率方面的功效。

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