Signal-Centric Predictive Medium Access Control for M2M Communications

Rung-Hung Gau*, Chih Huan Chen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


In this paper, we propose signal-centric predictive medium access control algorithms for machine-to-machine communications. In particular, the proposed signal-centric predictive algorithms exploit temporal correlations among sensing results to reduce the total prediction error at the base station. We propose polling algorithms for optimal performance and distributed algorithms for scalability. In addition, we derive analytical results that characterize the polling schedule when the proposed signal-centric predictive polling algorithm is used. Furthermore, we propose algorithms that strike a good balance between prediction error and fairness. Simulation results show that the proposed algorithms significantly reduce the overall prediction error.

Original languageEnglish
Article number7349247
Pages (from-to)2656-2668
Number of pages13
JournalIEEE Transactions on Wireless Communications
Issue number4
StatePublished - 1 Apr 2016


  • Machine-to-machine communications
  • mean square estimation
  • medium access control
  • statistical signal processing
  • stochastic processes

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