• DocumentCode
    257818
  • Title

    Energy efficiency comparison of massive MIMO and small cell network

  • Author

    Wenjia Liu ; Shengqian Han ; Chenyang Yang

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China
  • fYear
    2014
  • fDate
    3-5 Dec. 2014
  • Firstpage
    617
  • Lastpage
    621
  • Abstract
    In this paper, we compare the average energy efficiency (EE) of massive MIMO system and small cell network (SCN) under the conditions of identical user density, antenna density and data rate requirements, where the uplink and downlink training overhead as well as multi-cell power control are taken into account. Our analysis shows that the average transmit power of SCN decreases faster than massive MIMO as the antenna density increases. Moreover, massive MIMO achieves a higher average EE than SCN if its power consumption except the power for transmitting data is very low or the data rate requirement is very high. Considering that in SCN with large number of base stations (BSs) the opportunity for turning some BSs into idle mode is higher, massive MIMO exhibits higher EE only if its circuit power of each active antenna is lower than that for each antenna at an idle small BS. If antenna idling is allowed for massive MIMO, massive MIMO will be more energy efficient than SCN when the former has smaller circuit power for each idling antenna.
  • Keywords
    MIMO communication; antennas; EE; SCN; antenna density; base stations; circuit power; data rate requirements; energy efficiency comparison; identical user density; idling antenna; massive MIMO; massive MIMO system; multicell power control; small cell network; Downlink; MIMO; Power demand; Principal component analysis; Training; Transmitting antennas; Energy efficiency; massive MIMO; small cell network; training overhead;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Information Processing (GlobalSIP), 2014 IEEE Global Conference on
  • Conference_Location
    Atlanta, GA
  • Type

    conf

  • DOI
    10.1109/GlobalSIP.2014.7032191
  • Filename
    7032191