Cellular Network as a Multiplicatively Weighted Voronoi Diagram

被引：0
|
作者：
Portela, J. N. [1 ]
Alencar, M. S. [2 ]
机构：
[1] Ctr Fed Educ Tec Ceara, Fortaleza, Ceara, Brazil
[2] Univ Fed Campina Grande, Campina Grande, Brazil
来源：
2006 3RD IEEE CONSUMER COMMUNICATIONS AND NETWORKING CONFERENCE, VOLS 1-3 | 2006年
关键词：
Cell planning; land mobile radio cellular systems; Voronoi diagram; path loss prediction;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The mobile cellular network is normally represented by means of hexagonal topology. This structure is useful for planning frequency reuse but not appropriate for the analysis of handoff and coverage. This paper presents the cellular network as a multiplicatively weighted Voronoi diagram. Radio parameters such as antenna height, transmission power and specific-environment propagation characteristics are used as the basis to define the proximity rule in order to generate the Voronoi diagram. The cell boundaries are the edges of the Voronoi diagram. They are defined by comparison of the radii of adjacent cells. The proximity between a mobile and a base station is determined by means of an Euclidean distance weighted by propagation parameters.
引用
收藏
页码：913 / +
页数：3
相关论文
共 50 条
  • [1] Polygon characterization with the multiplicatively weighted voronoi diagram
    Mu, L
    [J]. PROFESSIONAL GEOGRAPHER, 2004, 56 (02): : 223 - 239
  • [2] Surveillance area as a multiplicatively weighted Voronoi diagram
    Portela, J. N.
    Alencar, M. S.
    [J]. 2006 IEEE RADAR CONFERENCE, VOLS 1 AND 2, 2006, : 702 - +
  • [3] Dynamic Construction of the Multiplicatively Weighted Voronoi Diagram
    Liu, Xin
    [J]. INTERNATIONAL CONFERENCE ON COMPUTER, NETWORK SECURITY AND COMMUNICATION ENGINEERING (CNSCE 2014), 2014, : 750 - 753
  • [4] A multiplicatively-weighted Voronoi diagram approach to logistics districting
    Galvao, LC
    Novaes, AGN
    de Cursi, JES
    Souza, JC
    [J]. COMPUTERS & OPERATIONS RESEARCH, 2006, 33 (01) : 93 - 114
  • [5] Approximation of multiplicatively weighted crystal growth Voronoi diagram and its application
    Kobayashi, K
    Sugihara, K
    [J]. ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC SCIENCE, 2002, 85 (06): : 21 - 31
  • [6] The method of network-based weighted Voronoi diagram
    Long, X. Q.
    Zhang, Y. B.
    Chen, Y. R.
    [J]. INFORMATION SCIENCE AND MANAGEMENT ENGINEERING, VOLS 1-3, 2014, 46 : 1077 - 1082
  • [7] Dynamic Construction of Additively Weighted Network Voronoi Diagram
    Liu, Xin
    Tan, Yili
    Yang, Hongmei
    [J]. INFORMATION COMPUTING AND APPLICATIONS, PT 2, 2012, 308 : 322 - 327
  • [8] An Algorithm based on the Weighted Network Voronoi Diagram for Point Cluster Simplification
    Lu, Xiaomin
    Yan, Haowen
    Li, Wende
    Li, Xiaojun
    Wu, Fang
    [J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 8 (03):
  • [9] An Algorithm to Generate a Weighted Network Voronoi Diagram Based on Improved PCNN
    Lu, Xiaomin
    Yan, Haowen
    [J]. APPLIED SCIENCES-BASEL, 2022, 12 (12):
  • [10] Information space regionalization using adaptive multiplicatively weighted Voronoi diagrams
    Reitsma, R
    Trubin, S
    Sethia, S
    [J]. EIGHTH INTERNATIONAL CONFERENCE ON INFORMATION VISUALISATION, PROCEEDINGS, 2004, : 290 - 294
12345