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Semi-Distributed Spectrum Access to Enhance Throughput for Underlay Device-to-Device Communications

机译:半分布式频谱访问可提高底层设备到设备通信的吞吐量

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摘要

In this paper, we investigate underlay device-to-device (D2D) communication in cellular networks where D2D transmitters transmit data to their receivers using cellular spectrum. We analyze the average sum throughput of D2D receivers in interference-limited channels. To enhance it, we propose a semi-distributed spectrum access scheme, which consists of two stages. In the first stage, the cellular base station divides whole D2D transmitters into multiple groups and assigns a different subchannel to each group. In the second stage, D2D transmitters in each group randomly access the subchannel assigned to it with predetermined access probability. We formulate an optimization problem to find groups and access probabilities, which maximize the average sum throughput. To overcome the prohibitive computational complexity to obtain its optimal solution, we decompose it into two subproblems: one to find groups and one to find access probabilities. A heuristic grouping algorithm is adopted to solve the former, and a branch-and-bound-based algorithm is proposed to solve the latter with achieving a target accuracy. The validity of the branch-and-bound-based algorithm is shown by performance comparison with an exhaustive search. It is shown that the heuristic grouping and the branch-and-bound-based algorithm achieve higher average sum throughput than conventional methods.
机译:在本文中,我们研究了蜂窝网络中的底层设备到设备(D2D)通信,其中D2D发射机使用蜂窝频谱将数据传输到其接收机。我们分析了干扰受限信道中D2D接收机的平均总吞吐量。为了增强它,我们提出了一种半分布式频谱接入方案,该方案包括两个阶段。在第一阶段,蜂窝基站将整个D2D发射机分为多个组,并为每个组分配一个不同的子信道。在第二阶段,每组中的D2D发射机以预定的访问概率随机访问分配给它的子信道。我们制定了一个优化问题,以查找组和访问概率,从而最大程度地提高了平均总吞吐量。为了克服计算量过大的问题以获得最佳解,我们将其分解为两个子问题:一个用于查找组,一个用于查找访问概率。采用启发式分组算法求解前者,并提出了一种基于分支定界的算法来解决后者并达到目标精度。通过与穷举搜索的性能比较,表明了基于分支定界算法的有效性。结果表明,与常规方法相比,启发式分组和基于分支定界的算法实现了更高的平均总吞吐量。

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