• DocumentCode
    717691
  • Title

    Frame Length Reduction for Massive-Machine Communications

  • Author

    Al Bechlawi, Carole ; Guilloud, Frederic

  • Author_Institution
    Inst. Mines-Telecom, Telecom Bretagne, Brest, France
  • fYear
    2015
  • fDate
    11-14 May 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Machine type communications (MTC) require short- length frames to improve the latency and to achieve high reliability when combined to advanced automatic request (ARQ) mechanisms. The use of short frames has a direct impact on the physical layer, especially on the forward-error correction code (FEC) performance. In this article, lattice based codes are used to achieve an efficient joint decoding of the code and the modulation. The linear group structure of lattices makes it possible to design a decoder based on a sphere decoder. To improve the performance for lower spectral efficiencies, the decoder design takes into account the inevitable lattice shaping processing of the transmitter. With a small number of dimensions, the frame lengths are very short and well suited to MTC. A comparison in frame error rate is performed between the proposed lattice code and an LTE inspired baseline, designed upon the LTE turbo code. Simulation results show that for equivalent spectral efficiencies, a gain in frame length is obtained. This frame length reduction can be employed for increasing the number of users in a machine type communication system.
  • Keywords
    Long Term Evolution; automatic repeat request; forward error correction; radio transmitters; spectral analysis; turbo codes; FEC code performance; LTE turbo code; MTC; advanced ARQ mechanism; automatic request; decoder design; equivalent spectral efliciency; forward error correction; frame length reduction; joint decoding; lattice based code; lattice shaping processing; linear group structure; massive machine type communication system; physical layer; sphere decoder; transmitter; Decoding; Error analysis; Forward error correction; Lattices; Signal to noise ratio; Turbo codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Spring), 2015 IEEE 81st
  • Conference_Location
    Glasgow
  • Type

    conf

  • DOI
    10.1109/VTCSpring.2015.7145846
  • Filename
    7145846