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

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.
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EURASIP Journal on Advances in Signal Processing, SpringerOpen, 2016, 2016 (1), 〈10.1186/s13634-016-0376-5〉
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https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01576983
Contributeur : Emmanuelle Ashta <>
Soumis le : jeudi 24 août 2017 - 15:12:38
Dernière modification le : mardi 6 février 2018 - 15:56:21

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A. Gouissem, R. Hamila, N. Al-Dhahir, Sebti Foufou. Sparsity-aware multiple relay selection in large multi-hop decode-and-forward relay networks. EURASIP Journal on Advances in Signal Processing, SpringerOpen, 2016, 2016 (1), 〈10.1186/s13634-016-0376-5〉. 〈hal-01576983〉

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