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A New Look at Optimum Macro Base Station Deployment in Heterogeneous Massive MIMO Networks for Eliminating Interference

机译:异构大规模MIMO网络中用于消除干扰的最佳宏基站部署新观点

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Massive multiple input multiple output (MIMO) Heterogeneous Networks (HetNets) are integral part of 5G systems. They can be viewed in three dimensional (3D) space where, each slice represents a unique tier that has its own Base stations (BS) and user equipments (UEs). Different slices cooperate with each other for mutual benefit. Data can be interactively exchanged among the tiers, and UEs have the flexibility to switch between the tiers. Poisson point process (PPP) has been widely used to allocate BSs and UEs among various tiers so far. However, BS locations using PPP approach may not be optimum to reduce interference. In this paper, we develop a new algorithm to find the optimum locations of Macro BSs in HetNets where every Macro BS along with its associate Micro BSs is treated as an independent unit after almost eliminating interference from neighboring Macro and Micro BSs. Hence, this approach provides increased coverage area and enhanced quality of service. Simulation results show the validity of our approach and promises enhancement to system performance.
机译:大规模多输入多输出(MIMO)异构网络(HetNets)是5G系统不可或缺的一部分。可以在三维(3D)空间中查看它们,每个切片代表一个唯一的层,该层具有自己的基站(BS)和用户设备(UE)。不同的切片彼此合作以互惠互利。可以在各层之间交互交换数据,并且UE可以灵活地在各层之间进行切换。到目前为止,泊松点过程(PPP)已被广泛用于在各个层之间分配BS和UE。然而,使用PPP方法的BS位置对于减少干扰可能不是最佳的。在本文中,我们开发了一种新的算法,用于在HetNets中找到宏BS的最佳位置,在该位置中,几乎消除了相邻的宏BS和微BS的干扰后,每个宏BS及其关联的微型BS都被视为一个独立的单元。因此,此方法可提供更大的覆盖范围并提高服务质量。仿真结果表明了我们方法的有效性,并有望增强系统性能。

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