• DocumentCode
    1872859
  • Title

    On the application of massive MU-MIMO in the uplink of machine type communication systems

  • Author

    de Figueiredo, Felipe A. P. ; Cardoso, Fabbryccio A. C. M. ; Lopes, Renato R. ; Miranda, Joao Paulo

  • Author_Institution
    CPqD-R&D Center on Telecommun., Brazil
  • fYear
    2015
  • fDate
    14-17 June 2015
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    The development of next-generation networks has been driven by a number of use cases aimed at supporting innovative applications and services. Among these drivers the Internet of Things has gained momentum due to its potential to leverage Machine Type Communications (MTC), a term used to denote machine-centered communications among sporadic, bursty traffic generating devices. While scalability issues have been addressed by the community, less is understood to date about the use of Multiple Input Multiple Output (MIMO) techniques in the context of MTC networks. In this paper, we propose the use of a Massive Multiuser (MU)-MIMO1 setup as means to tackle the uplink mixed-service communication problem. Under the assumption of an available physical narrowband shared channel, the capacity of the MTC network and, in turn, that of the whole system, can be increased by grouping MTC devices into clusters and letting each cluster share the same time-frequency physical resource blocks. The individual data streams conveyed by spatially spread MTC signals can be separated thanks to the powerful processing gain of our Massive MU-MIMO setup, where we consider K single-antenna MTC devices served by a BS equipped with an array of M antennas, M >> K. Our simulation results suggest that, as M is made progressively larger, the performance of sub-optimal linear filtering methods approach the matched filter bound, also known as perfect interference-cancellation bound. Zero Forcing (ZF) and Minimum Mean Squared Error (MMSE) approach the bound at a faster pace than simple Maximum Ratio Combining (MRC), although the performance gap of the latter is of only 2 dB for M = 500 antennas. Due to its better balance between interference suppression and noise enhancement, MMSE outperforms MRC and ZF in all cases studied. The gap in the performance of ZF, however, is negligible for array sizes around 50 antennas, and entirely vanishes when the BS is equipped with M > 100 antenn- s.
  • Keywords
    Internet of Things; MIMO communication; antenna arrays; interference suppression; matched filters; mean square error methods; multiuser channels; Internet of Things; MMSE; antenna arrays; interference cancellation; interference suppression; machine type communication systems; machine-centered communications; massive MU-MIMO; massive multiuser-MIMO setup; matched filter; minimum mean squared error; multiple input multiple output techniques; next generation networks; noise enhancement; single-antenna MTC devices; suboptimal linear filtering; time-frequency physical resource blocks; uplink mixed-service communication problem; zero forcing; Arrays; Detectors; Fading; Interference; Noise; OFDM; Uplink; 5G; MTC; linear filtering; massive MU-MIMO;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications (IWT), 2015 International Workshop on
  • Conference_Location
    Santa Rita do Sapucai
  • Type

    conf

  • DOI
    10.1109/IWT.2015.7224559
  • Filename
    7224559