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A PCI planning algorithm for jointly reducing reference signal collisions in LTE uplink and downlink

机译：一种PCI计划算法，用于共同减少LTE上行链路和下行链路中的参考信号冲突

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摘要

In this paper, a novel automatic planning method is proposed for allocating Physical Cell Identifiers (PCI) to cells in a Long Term Evolution (LTE) system based on handover and cell load measurements. The method aims at avoiding PCI collision and confusion problems, while reducing Reference Signal (RS) collisions between neighbor cells. For this purpose, the problem is formulated to consider RS collisions both in DownLink (DL) and UpLink (UL). Then, a classical graph partitioning algorithm is adapted to solve the graph coloring problem behind PCI planning. The considered algorithm is the multi-level version of the Fiduccia and Mattheyses local refinement algorithm. Performance assessment is carried out on graphs constructed from data collected in live LTE network. Results show that the proposed algorithms can avoid PCI collision and confusion problems, while reducing DL RS collisions and almost eliminating UL RS collisions compared to a random plan. (C) 2017 Elsevier B.V. All rights reserved.
机译：在本文中，提出了一种新的自动规划方法，该方法可基于切换和小区负载测量，为长期演进（LTE）系统中的小区分配物理小区标识符（PCI）。该方法旨在避免PCI冲突和混乱问题，同时减少相邻小区之间的参考信号（RS）冲突。为此，制定问题时要考虑下行链路（DL）和上行链路（UL）中的RS冲突。然后，采用经典的图形划分算法来解决PCI规划背后的图形着色问题。所考虑的算法是Fiduccia和Mattheyses局部优化算法的多层版本。性能评估是根据从实时LTE网络中收集的数据构建的图进行的。结果表明，与随机计划相比，所提出的算法可以避免PCI冲突和混乱问题，同时减少DL RS冲突并几乎消除了UL RS冲突。 （C）2017 Elsevier B.V.保留所有权利。

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