TR2015-130

Universal Multi-Stage Precoding with Monomial Phase Rotation for Full-Diversity M2M Transmission


    •  Koike-Akino, T., Kim, K.J., Orlik, P.V., Pajovic, M., "Universal Multi-Stage Precoding with Monomial Phase Rotation for Full-Diversity M2M Transmission", IEEE Global Communications Conference (GLOBECOM), DOI: 10.1109/​GLOCOM.2015.7417467, December 2015, pp. 1-7.
      BibTeX TR2015-130 PDF
      • @inproceedings{Koike-Akino2015dec,
      • author = {Koike-Akino, T. and Kim, K.J. and Orlik, P.V. and Pajovic, M.},
      • title = {Universal Multi-Stage Precoding with Monomial Phase Rotation for Full-Diversity M2M Transmission},
      • booktitle = {IEEE Global Communications Conference (GLOBECOM)},
      • year = 2015,
      • pages = {1--7},
      • month = dec,
      • doi = {10.1109/GLOCOM.2015.7417467},
      • url = {https://www.merl.com/publications/TR2015-130}
      • }
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  • Research Area:

    Communications

Abstract:

Machine-to-machine (M2M) communications have been considered as an important application to connect a massively large number of different devices in networks. In particular for M2M wireless networks, low latency and high reliability are of great importance. To fulfill the requirements, a diversity technique exploiting limited resources is proposed in this paper for short-message transmissions. The proposed method uses multiple stages of fast unitary transforms and diagonal phase rotations to achieve full-diversity gain. A monomial phase rotation is also proposed to facilitate an optimization of the precoding matrix. It is verified that the proposed four-stage precoding provides universal diversity gain irrespective of channel selectivity in time and frequency, without changing monomial parameters. In addition, it is shown that the four-stage precoding based on the discrete Haar transform (DHT) achieves a full diversity while the computational complexity is significantly reduced from a loglinear order to a linear order compared to the other unitary transforms such as the discrete Fourier transform (DFT).