Sparsity-Aware Ordered Successive Interference Cancellation for Massive Machine-Type Communications

Jinyoup Ahn, Byonghyo Shim, Kwang Bok Lee

Research output: Contribution to journalArticle

7 Citations (Scopus)


In massive machine-type communication (mMTC) systems, by exploiting sporadic device activities, compressed sensing based multi-user detection (CS-MUD) is used to recover sparse multi-user vectors. In CS-MUD, multi-user vectors are detected based on a sparsity-aware maximum a posteriori probability (S-MAP) criterion. To reduce the computational complexity of S-MAP detection, a sparsity-aware successive interference cancellation (SA-SIC) technique can be used. However, SA-SIC does not perform well without proper layer sorting due to error propagation. In this paper, we propose a novel sparsity-aware ordered SIC scheme that finds the optimal detection order based on the activity probabilities and channel gains of devices. Simulation results verify that the proposed scheme greatly improves the performance of SA-SIC.

Original languageEnglish
JournalIEEE Wireless Communications Letters
Publication statusAccepted/In press - 2017 Oct 6
Externally publishedYes


  • Base stations
  • compressed sensing
  • Computational complexity
  • Interference cancellation
  • Massive machine-type communication
  • Matrix decomposition
  • multi-user detection.
  • Multiuser detection
  • Performance evaluation
  • Silicon carbide
  • sporadic communication
  • successive interference cancellation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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