• DocumentCode
    2275720
  • Title

    Mathematical modeling for optimal deployment of in-building Distributed Antenna Systems

  • Author

    Chen, Lei ; Yuan, Di ; Song, Hui ; Zhang, Jie

  • Author_Institution
    Dept. of Sci. & Technol., Linkoping Univ., Linkoping, Sweden
  • fYear
    2012
  • fDate
    15-17 Aug. 2012
  • Firstpage
    786
  • Lastpage
    791
  • Abstract
    In-building Distributed Antenna System (IB-DAS) has been proved to be one of the most efficient methods to provide sufficient coverage and capacity for indoor users. The target of a successful IB-DAS deployment is to guarantee the coverage as well as the capacity of the in-building areas with minimum deployment cost. We consider the optimal deployment of the IB-DAS based on passive DAS in this paper. Mixed Integer Programming model has been developed for the topology design of IB-DAS through the optimal installation of power splitters in order to connect all the antennas with minimum cable cost, meanwhile, the transmit power at each antenna are kept within the satisfied level for the service guarantee. The model can deliver optimal solutions to systems with a practical size where passive DAS is commonly deployed. To improve the time efficiency, preprocessing has been done to integrate the building layout data into the modeling. Application of the model over realistic IB-DAS deployment has been conducted, which demonstrates the effectiveness of the model.
  • Keywords
    antennas; indoor radio; integer programming; topology; IB-DAS deployment; building layout data; cable cost; deployment cost; in-building area capacity; in-building area coverage; in-building distributed antenna system; indoor user; mathematical modeling; mixed integer programming model; optimal deployment; passive DAS; power splitter; service guarantee; topology design; transmit power; Antennas; Buildings; Layout; Mathematical model; Planning; Power cables; Power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications in China (ICCC), 2012 1st IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-2814-2
  • Electronic_ISBN
    978-1-4673-2813-5
  • Type

    conf

  • DOI
    10.1109/ICCChina.2012.6356992
  • Filename
    6356992