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

机译:基于图形的D2D和蜂窝混合网络使用SCMA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:在未来的第五代(5G)无线网络中,蜂窝网络中的设备到设备(D2D)通信被示出为具有有希望的候选者。具体地,混合体系结构导致蜂窝用户和D2D用户的灵活高效的资源分配,从而增强了频谱资源的利用率。但是,如果没有正确处理,通过设备的增殖将显着提出相互干扰,瓶颈的瓶颈性能的性能。在本文中,考虑了联合模式选择和资源分配,用于稀疏代码多址(SCMA)的上行链蜂窝网络。瞄准系统总和率最大化,我们制定联合优化问题,但是,这被示出为混合整数非线性编程(MINLP)问题。为了解决问题,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是一种干扰感知算法。特别地,当应用GMR时,D2D用户才会在对蜂窝用户到蜂窝用户的干扰电平低于预定阈值时重复使用SCMA资源。否则,专用资源被分配给D2D用户,以避免压倒性的相互干扰。仿真结果证实了GMR在增强混合系统中的频谱效率和系统总和率方面的功效。

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