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

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

doi:10.1186/s13634-016-0376-5

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

A. Gouissem ^{1, 2} R. Hamila ^{1, *} N. Al-Dhahir ³ Sebti Foufou ^{4, 5}

* Auteur correspondant

1 CSE Department, College of Engineering, Qatar University, PO BOX 2713, Doha, Qatar

2 UB - Université de Bourgogne

3 UT Dallas - University of Texas at Dallas [Richardson]

4 Le2i - Laboratoire d'Electronique, d'Informatique et d'Image [EA 7508]

5 Qatar University

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.

Keywords : Large DF relay networks Outage probability MSE Relay selection cooperative networks wireless networks diversity feedback channels

Type de document :

Article dans une revue

EURASIP Journal on Advances in Signal Processing, SpringerOpen, 2016, 2016 (1), 〈10.1186/s13634-016-0376-5〉

Domaine :

Sciences de l'ingénieur [physics]

Liste complète des métadonnées

https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01576983
Contributeur : Emmanuelle Ashta <>
Soumis le : jeudi 24 août 2017 - 15:12:38
Dernière modification le : vendredi 13 juillet 2018 - 11:56:01

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

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