Sparsity-aware multiple relay selection in large multi-hop decode-and-forward relay networks
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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.
- Electrical Engineering [882 items ]
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Gouissem, Ala; Samara, Lutfi; Hamila, Ridha; Al-Dhahir, Naofal; Foufou, Sebti ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)In this paper, the problems of multiple relay selection and beamforming optimization are considered for a dual-hop amplify-and-forward relaying network under individual and total power constraints. The selection is performed ...
Mallat, Walid; Alouane, Wided Hadj; Boujemaa, Hatem; Touati, Farid ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)In this paper, we focus on the half-duplex (HD) relaying with partial relay selection (PRS) scheme using destination-assisted jamming (DAJ). We consider one source (S), one destination (D), one passive eavesdropper and ...
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