Spatial traffic estimation and characterization for mobile communication network design

被引:67
|
作者
Tutschku, K [1 ]
Tran-Gia, P [1 ]
机构
[1] Univ Wurzburg, Lehrstuhl Informat 3, D-97074 Wurzburg, Germany
关键词
clustering methods; communication system performance; facility locations; land mobile radio cellular system; network planning; traffic estimation;
D O I
10.1109/49.700914
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
This paper presents a new method for the estimation and characterization of the expected teletraffic in mobile communication networks. The method considers the teletraffic from the network viewpoint. The traffic estimation is based on the geographic traffic model, which obeys the geographical and demographical factors for the demand for mobile communication services. For the spatial teletraffic characterization, a novel representation technique Is introduced which uses the notion of discrete demand nodes. We show how the information in geographical information systems can be used to estimate the teletraffic demand in an early phase of the network design process. Additionally, we outline how the discrete demand node representation facilitates the application of demand-based automatic mobile network design algorithms.
引用
收藏
页码:804 / 811
页数:8
相关论文
共 21 条
  • [1] A microstate spatial-inference model for network-traffic estimation
    Fowe, Adeyemi J.
    Chan, Yupo
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2013, 36 : 245 - 260
  • [2] On the Challenges of Mobile Crowdsensing for Traffic Estimation
    Gil, Daniela Socas
    d'Orey, Pedro M.
    Aguiar, Ana
    PROCEEDINGS OF THE 15TH ACM CONFERENCE ON EMBEDDED NETWORKED SENSOR SYSTEMS (SENSYS'17), 2017,
  • [3] A structured approach to network backbone traffic estimation
    Ciglaric, M
    Vidmar, T
    PARALLEL AND DISTRIBUTED COMPUTING SYSTEMS - PROCEEDINGS OF THE ISCA 9TH INTERNATIONAL CONFERENCE, VOLS I AND II, 1996, : 286 - 291
  • [4] A Framework Enabling Spatial Analysis of Mobile Traffic Hot Spots
    Klessig, Henrik
    Suryaprakash, Vinay
    Blume, Oliver
    Fehske, Albrecht
    Fettweis, Gerhard
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2014, 3 (05) : 537 - 540
  • [5] Teletraffic issues in mobile communication network planning
    Phuoc Tran‐Gia
    Kenji Leibnitz
    Kurt Tutschku
    Telecommunication Systems, 2000, 15 : 3 - 20
  • [6] Energy-Aware Network Selection Using Traffic Estimation
    Petander, Henrik
    1ST ACM WORKSHOP ON MOBILE INTERNET THROUGH CELLULAR NETWORKS-OPERATIONS CHALLENGES AND SOLUTIONS (MICNET), 2009, : 55 - 60
  • [7] ROBUST NETWORK TRAFFIC ESTIMATION VIA SPARSITY AND LOW RANK
    Mardani, Morteza
    Giannakis, Georgios B.
    2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2013, : 4529 - 4533
  • [8] Mixed estimation approach to end-to-end network traffic
    Jiang, Ding-De
    Zhao, Zu-Yao
    Xu, Hong-Wei
    Wang, Xing-Wei
    Guangzi Xuebao/Acta Photonica Sinica, 2014, 43 (07):
  • [9] Mining Road Network Correlation for Traffic Estimation via Compressive Sensing
    Liu, Zhidan
    Li, Zhenjiang
    Li, Mo
    Xing, Wei
    Lu, Dongming
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2016, 17 (07) : 1880 - 1893
  • [10] TAQNet: Traffic-Aware Minimum-Cost Quantum Communication Network Planning
    Maity, Ilora
    Rehman, Junaid ur
    Chatzinotas, Symeon
    IEEE TRANSACTIONS ON QUANTUM ENGINEERING, 2025, 6