Antenna placement for downlink distributed antenna systems with selection transmission

  • Eunsung Park*
  • , Inkyu Lee
  • *Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    25 Citations (Scopus)

    Abstract

    In this paper we propose new algorithms to determine the antenna location for downlink distributed antenna systems (DAS) with selection transmission (ST). ST has some advantages for DAS since the feedback overhead is quite small and other-cell interference can be reduced compared to other transmission schemes. For the single-cell case, we consider a circular antenna layout with or without a center antenna and divide a cell into regions with the same physical area. Then, we formulate the optimization problem of distributed antenna (DA) port locations which maximizes the lower bound of the expected signal to noise ratio in each region. Also, for the two-cell DAS, we maximize the lower bound of the expected signal to leakage ratio to identify the optimum da positions. In order to solve the problem, we propose an iterative method by deriving the gradient of the cost function for a gradient ascent algorithm. The da locations obtained from our proposed method are compared with conventional solutions. Simulation results show that the proposed algorithms offer a large capacity gain over the centralized antenna systems in single-cell and two-cell environments.

    Original languageEnglish
    Title of host publication2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring - Proceedings
    DOIs
    Publication statusPublished - 2011
    Event2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring - Budapest, Hungary
    Duration: 2011 May 152011 May 18

    Publication series

    NameIEEE Vehicular Technology Conference
    ISSN (Print)1550-2252

    Other

    Other2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring
    Country/TerritoryHungary
    CityBudapest
    Period11/5/1511/5/18

    ASJC Scopus subject areas

    • Computer Science Applications
    • Electrical and Electronic Engineering
    • Applied Mathematics

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