• DocumentCode
    6281
  • Title

    Optimization of Antenna Placement in Distributed MIMO Systems for Underground Mines

  • Author

    Forooshani, Arghavan Emami ; Lotfi-Neyestanak, Abbas Ali ; Michelson, David G.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada
  • Volume
    13
  • Issue
    9
  • fYear
    2014
  • fDate
    Sept. 2014
  • Firstpage
    4685
  • Lastpage
    4692
  • Abstract
    Low angular spread of propagation environments and small interelement spacing within mobile terminals are two main factors degrading the capacity of multiple-input-multiple-output (MIMO) systems. This is particularly more evident in underground tunnels and mines that have lower angular spread compared to conventional environments. In such environments where colocated MIMO (C-MIMO) systems may not perform properly, we have shown that for access-point-to-mobile communications with limited and fixed antenna spacing at the mobile end, capacity close to that of an independent and identically distributed Rayleigh channel is achievable by employing distributed MIMO (D-MIMO) systems. To find and optimize C-MIMO and D-MIMO average capacities, we employed the waveguide-multimode model and particle-swarm-optimization method. We found that D-MIMO systems show desirable performance while significantly outperforming C-MIMO configurations. Nevertheless, D-MIMO desirable performance depends on the antennas´ placement and is achievable for optimized locations. Based on the results, by uniformly distributing D-MIMO antennas along the tunnel axis and optimizing the transverse location of antennas afterward, suitable performance can be achieved. This paper is concluded by providing implications for D-MIMO antenna deployment in underground mines.
  • Keywords
    MIMO communication; Rayleigh channels; antennas; mobile radio; particle swarm optimisation; underground communication; D-MIMO system; access point-to-mobile communications; antenna placement optimization; distributed MIMO systems; distributed Rayleigh channel; mobile terminal; multiple input multiple output systems; optimize C-MIMO average capacity; optimize D-MIMO average capacity; particle swarm optimization method; underground mines; waveguide multimode model; Antenna arrays; Channel capacity; Fading; MIMO; Receiving antennas; Distributed antenna system; antenna configuration; particle swarm optimization; under ground communication;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/TWC.2014.2341587
  • Filename
    6868980