Distance multi-labelling of graphs with weighted vertices

被引:0
作者
Kim, Byeong Moon [1 ]
Rho, Yoomi [2 ]
Song, Byung Chul [1 ]
机构
[1] Gangneung Wonju Natl Univ, Dept Math, Kangnung, South Korea
[2] Incheon Natl Univ, Dept Math, Incheon, South Korea
基金
新加坡国家研究基金会;
关键词
graph theory; radio transmitters; radio networks; mathematical analysis; telecommunication channels; distance graph multilabelling; weighted vertices; channel assignment problem; transmitters; wireless network; cellular mobile system; channel separation constraint; distance multilabelling problem; mathematical model; graph multicolouring; CHANNEL ASSIGNMENT PROBLEM; FREQUENCY ASSIGNMENT; CELLULAR NETWORKS;
D O I
10.1049/iet-com.2016.0708
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The channel assignment problem (CAP) which finds an efficient assignment of channels to the transmitters of a wireless network is applicable to cellular mobile system (CMS). There are lots of results on CAP for CMS where the channel separation constraint is represented by a symmetric matrix or a graph. In particular, the Philadelphia instances and the 49-cell system are benchmark CAP for CMS and are treated in many papers. The distance multi-labelling (DM) problem on a graph with weighted vertices is an effective mathematical model of CAP for CMS in which a CMS is represented by a graph with weighted vertices, where a vertex corresponds to a cell with the number of calls on it as its weight. A DM on a graph with weighted vertices is an assignment of a set of non-negative numbers to each vertex. These numbers, which are called labels, represent the channels assigned to the demand calls in each cell. DM is a generalisation of both distance labelling and graph multi-colouring. In this study, the author introduce a new method called the layering method to find a DM on a graph with weighted vertices. Using this method, we obtain optimal DM for two Philadelphia instances. For each of them, the authors obtain a DM according to the range of separation conditions, and it includes known optimal results which are individually obtained under one separation condition.
引用
收藏
页码:2524 / 2530
页数:7
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