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Radio Resource Allocation in Buildings with Dense Femtocell Deployment

机译:具有密集的毫微微小区部署的建筑物中的无线电资源分配

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Small cells are becoming essential to offer a promising solution for dramatic mobile traffic growth in future mobile networks. Especially, massive enterprise femtocells are expected to provide high capacity to fulfill high data demands in buildings in order to offload indoor traffic from outdoor macro cells in that over 80% of mobile data traffic is generated indoors. However, as one of the major challenges, inter-femtocell interference gets worse in 3D in-building scenarios because of the presence of numerous interfering sources and needs to be considered in the early network planning phase. The indoor network planning and optimization tool, iBuildNet®, makes accurate prediction of indoor wireless RF signal propagation possible to guide actual indoor femtocell deployments. In this paper, a semi-static resource allocation scheme based on fractional frequency reuse (FFR) is developed to avoid interference on cell edge users for dense indoor femtocell deployments. The minimum number of subbands used in the scenario is worked out with a node-coloring heuristic algorithm. Extensive simulations in a multi-floor building are performed over iBuildNet® to evaluate the performances of the developed scheme. The simulation results illustrate that the developed scheme outperform the traditional FFR-3 scheme that is popular in macro-cell networks, in terms of cell edge user data rate and average user data rate.
机译:小型电池正成为对未来移动网络中戏剧性移动流量增长的有希望的解决方案至关重要。特别是,大规模企业毫微微小区预计将提供高容量以满足建筑物的高数据需求,以便从户外宏观电池卸载室内流量,因为超过80%的移动数据流量在室内生成。然而,由于主要挑战之一,由于存在许多干扰来源并且需要在早期网络规划阶段考虑,因此在3D建立方案中,毫微微蜂窝间干扰变得更糟。室内网络规划和优化工具ibuildnet®可以准确地预测室内无线RF信号传播,以指导实际的室内毫微微小区部署。在本文中,开发了一种基于分数频率重用(FFR)的半静态资源分配方案,以避免对密集室内毫微微小区部署的小区边缘用户的干扰。方案中使用的最小数量与节点着色启发式算法一起解决。多层建筑物中的广泛模拟通过IBuildNet®进行,以评估开发方案的性能。仿真结果表明,在小区边缘用户数据速率和平均用户数据速率方面,开发方案优于宏观小区网络中流行的传统FFR-3方案。

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