Sparsity-aware multiple relay selection in large multi-hop decode-and-forward relay networks

A. Gouissem, R. Hamila, N. Al-Dhahir, Sebti Foufou

Research output: Contribution to journalArticle

Abstract

In this paper, we propose and investigate two novel techniques to perform multiple relay selection in large multi-hop decode-and-forward relay networks. The two proposed techniques exploit sparse signal recovery theory to select multiple relays using the orthogonal matching pursuit algorithm and outperform state-of-the-art techniques in terms of outage probability and computation complexity. To reduce the amount of collected channel state information (CSI), we propose a limited-feedback scheme where only a limited number of relays feedback their CSI. Furthermore, a detailed performance-complexity tradeoff investigation is conducted for the different studied techniques and verified by Monte Carlo simulations.

Original languageEnglish (US)
Article number81
JournalEurasip Journal on Advances in Signal Processing
Volume2016
Issue number1
DOIs
StatePublished - Dec 1 2016

Fingerprint

Channel state information
Feedback
Outages
Recovery
Monte Carlo simulation

Keywords

  • Large DF relay networks
  • MSE
  • Outage probability
  • Relay selection

ASJC Scopus subject areas

  • Signal Processing
  • Hardware and Architecture
  • Electrical and Electronic Engineering

Cite this

Sparsity-aware multiple relay selection in large multi-hop decode-and-forward relay networks. / Gouissem, A.; Hamila, R.; Al-Dhahir, N.; Foufou, Sebti.

In: Eurasip Journal on Advances in Signal Processing, Vol. 2016, No. 1, 81, 01.12.2016.

Research output: Contribution to journalArticle

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