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Article Dans Une Revue EURASIP Journal on Advances in Signal Processing Année : 2016

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

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Résumé

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.

Dates et versions

hal-01576983 , version 1 (24-08-2017)

Identifiants

Citer

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, 2016, 2016 (1), ⟨10.1186/s13634-016-0376-5⟩. ⟨hal-01576983⟩
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