Cluster-head based feedback for simplified time reversal prefiltering in ultra-wideband systems

Hossein Soleimani, Stefano Tomasin, Tohid Alizadeh, Mohammad Shojafar

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

Time-reversal prefiltering (TRP) technique for impulse radio (IR) ultra wide-band (UWB) systems requires a large amount of feedback to transmit the channel impulse response from the receiver to the transmitter. In this paper, we propose a new feedback design based on vector quantization. We use a machine learning algorithm to cluster the estimated channels into several groups and to select the channel cluster heads (CCHs) for feedback. In particular, CCHs and their labels are recorded at both side of the UWB transceivers and the label of the most similar CCH to the estimated channel is fed back to the transmitter. Finally, the TRP is applied using the feedback CCH. The proposed digital feedback provides three main advantages: (1) it significantly reduces the dedicated bandwidth required for feedback; (2) it considerably improves the speed of transceivers; and, (3) it is robust to noise in the feedback channel since few bytes are required to send the codes that can be heavily error protected. Numerical results on standard UWB channel models are discussed, showing the advantage of the proposed solution.

Original languageEnglish
Pages (from-to)100-109
Number of pages10
JournalPhysical Communication
Volume25
DOIs
Publication statusPublished - Dec 1 2017

Keywords

  • Clustering channels
  • Digital feedback
  • IEEE 802.15.SG3 channel model
  • Machine learning
  • Prefiltering
  • Ultra wide-band (UWB)

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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