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Cluster Computing

, Volume 22, Supplement 4, pp 9407–9414 | Cite as

An enhanced MMSE detection with constellation distance correction for the Internet of things with multiple antennas

  • Jiao Feng
  • Dongshun Hu
  • Peng LiEmail author
  • Johnson Zhang
Article
  • 107 Downloads

Abstract

A feature of the Internet of Things (IoT) is that the data demanded users in the system need to be served with low energy consumption. To address this requirement, multi-input multi-output (MIMO) technology can be used in the communication modules. In this paper, a novel low-complexity parameter estimator combined with an MMSE detector and a constellation distance correction (CDC) structure is proposed for multiple antenna systems. A hard-output detector is proposed to enhance the reliability of the estimation output. By measuring the distance between constellation candidates and the MMSE estimated soft output, the proposed equalizer may avoid processing redundancy of candidates with decision distance. Simulation results show that the proposed MMSE-CDC technique may provide about the same BER performance as the other post detection processing (PDP) techniques but requires significant less computational complexity.

Keywords

IoT Constellation distance correction Multiple antennas Reliability MMSE-CDC PDP 

Notes

Acknowledgements

This work has been supported by National Natural Science Foundation of China [Grant Number 61501244], [Grant Number 61501245]; Natural Science Foundation of Jiangsu Province [Grant Number BK20150932]. Priority Academic Program Development of Jiangsu Higher Education Institutions, Innovation and Entrepreneurship Doctoral Program of Jiangsu, Startup Foundation for Introducing Talent of Nanjing University of Information Science & Technology.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Jiao Feng
    • 1
  • Dongshun Hu
    • 1
  • Peng Li
    • 1
    Email author
  • Johnson Zhang
    • 2
  1. 1.School of Electronics and Information EngineeringNanjing University of Information Science and TechnologyNanjingPeople’s Republic of China
  2. 2.Ilmenau University of TechnologyCommunications Research LaboratoryIlmenauGermany

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