Self-organizing networks for 5G: Directional cell search in mmW networks

F. Ahmed, Junquan Deng, O. Tirkkonen
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引用次数: 11

Abstract

We discuss the motivation and potential use-cases of self-organizing networks (SON) in 5G networks. Disruptive technologies and features of 5G networks include millimeter wave (mmW), massive multiple-input multiple output (MIMO), and cloud-radio access network (C-RAN). These have ramifications on SON aspects of the networks. We discuss several new SON use-cases and problems pertinent to emerging 5G technologies. The discussed 5G SON use-cases include spectrum management and sharing, user association, multi-radio access technology (RAT) optimization, and directional cell search for mmW networks. We then investigate directional cell search in detail, and consider a network graph based approach for self-organized beam assignment in mmW 5G networks. Simulations results in a realistic Manhattan environment demonstrate the benefits of proposed approach, in terms of improved user signal-to-interference plus noise ratios to potential handover beams, thereby resulting in better directional cell discovery.
5G自组织网络:毫米波网络中的定向小区搜索
我们讨论了5G网络中自组织网络(SON)的动机和潜在用例。5G网络的颠覆性技术和特征包括毫米波(mmW)、大规模多输入多输出(MIMO)和云无线接入网(C-RAN)。这些都对网络的SON方面产生了影响。我们讨论了与新兴5G技术相关的几个新的SON用例和问题。讨论的5G SON用例包括频谱管理和共享、用户关联、多无线接入技术(RAT)优化以及毫米波网络的定向小区搜索。然后,我们详细研究了定向小区搜索,并考虑了一种基于网络图的毫米波5G网络自组织波束分配方法。在现实的曼哈顿环境中的模拟结果表明,所提出的方法在提高用户信号干扰和噪声比与潜在切换波束方面的优势,从而导致更好的定向蜂窝发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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