With the rapid progress of communication technology and the increase of mobile users, effective management of mobile networks in urban and high-density residential areas, especially to solve the problem of conflict, confusion, and mode 3 interference of physical cell identifiers (PCI) between cells, has become the key to ensure the quality of communication networks and improve user experience. Based on this, this paper constructs a cell network PCI optimization model, this paper will use the measurement report (MR) data, conflict, confusion, and interference MR number to react to the PCI indicators in the network. PCI reuse reasonable planning, effectively solving the problem of poor quality of communication network caused by the lack of PCI, with 2067 target cell PCI reallocation, measurement report (MR) data The total optimization reduces 100792242, which is $38.06 \%$. Considering the practical application effect and the maximum use of PCI, this paper gives different priorities to conflict, confusion, and interference in 2067 target cells based on a singleobjective PCI optimization method, forming a multi-objective PCI optimization method oriented to the priority of conflict being the highest, the confusion being the second highest, and interference being the last highest. The finally obtained conflict MR number, confusion MR number, and interference MR number are 2097330, 9082542, and 161088492, respectively, and the conflict MR number and confusion MR number decreased by 87% and 76%, respectively. Meanwhile, in this paper, 823 new cells are added based on the target 2067 cells to expand the scope for verification, and the result still has a good optimization effect, which confirms that this model has a good optimization effect and practicality for PCI ${ }^{[1]}$ multiplexing planning in cellular network.


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    Titel :

    Research on PCI Planning Issues Based on Multi-objective Integer Programming Models


    Beteiligte:
    Xia, Zhouyang (Autor:in) / Lei, Tingting (Autor:in) / Yang, Shaofeng (Autor:in) / Hu, Hengyuan (Autor:in)


    Erscheinungsdatum :

    23.10.2024


    Format / Umfang :

    1269669 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch