• DocumentCode
    182655
  • Title

    MIMO in vivo

  • Author

    Chao He ; Yang Liu ; Ketterl, Thomas P. ; Arrobo, Gabriel E. ; Gitlin, Richard D.

  • Author_Institution
    Dept. of Electr. Eng., Univ. of South Florida, Tampa, FL, USA
  • fYear
    2014
  • fDate
    6-6 June 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    We present the performance of MIMO for in vivo environments, using ANSYS HFSS and their complete human body model, to determine the maximum data rates that can be achieved using an IEEE 802.11n system. Due to the lossy nature of the in vivo medium, achieving high data rates with reliable performance will be a challenge, especially since the in vivo antenna performance is strongly affected by near-field coupling to the lossy medium and the signals levels will be limited by specified specific absorption rate (SAR) levels. We analyzed the bit error rate (BER) of a MIMO system with one pair of antennas placed in vivo and the second pair placed inside and outside the body at various distances from the in vivo antennas. The results were compared to SISO arrangements and showed that by using MIMO in vivo, significant performance gain can be achieved, and at least two times the data rate can be supported with SAR limited transmit power levels, making it possible to achieve target data rates in the 100 Mbps.
  • Keywords
    MIMO communication; MIMO systems; antennas; body area networks; electromagnetic wave propagation; error statistics; finite element analysis; physiological models; power transmission; telemedicine; wireless LAN; ANSYS HFSS; IEEE 802.11n system; MIMO system BER analysis; SAR levels; SAR limited transmit power levels; SISO arrangements; bit error rate; complete human body model; in vivo MIMO performance gain; in vivo antenna pair; in vivo antenna performance; in vivo antenna-body distances; in vivo environments; in vivo medium lossy nature; maximum data rates; near-field coupling effect; signal level limitation; specific absorption rate levels; target data rates; Antennas; Biological system modeling; Bit error rate; In vivo; Indexes; MIMO; Wireless communication; IEEE 802.11n; In vivo communications; MIMO; SAR;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless and Microwave Technology Conference (WAMICON), 2014 IEEE 15th Annual
  • Conference_Location
    Tampa, FL
  • Type

    conf

  • DOI
    10.1109/WAMICON.2014.6857757
  • Filename
    6857757