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AuthorGouissem, A.
AuthorHamila, R.
AuthorAl-Dhahir, N.
AuthorFoufou, S.
Available date2016-09-21T08:13:31Z
Publication Date2016-07
Publication NameEurasip Journal on Advances in Signal Processing
CitationGouissem, A., Hamila, R., Al-Dhahir, N., Foufou, S. "Sparsity-aware multiple relay selection in large multi-hop decode-and-forward relay networks" (2016) Eurasip Journal on Advances in Signal Processing, 2016 (1), art. no. 81, .
ISSN1687-6172
URIhttp://dx.doi.org/10.1186/s13634-016-0376-5
URIhttp://hdl.handle.net/10576/4736
AbstractIn 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.
SponsorNPRP grant 6-070-2-024 from the Qatar National Research Fund (a member of Qatar Foundation)
Languageen
PublisherSpringer International Publishing
SubjectLarge DF relay networks
SubjectOutage probability
SubjectMultiple relay selections
SubjectCommunication channels (information theory)
SubjectComplex networks
SubjectRelay control systems
SubjectChannel state information
TitleSparsity-aware multiple relay selection in large multi-hop decode-and-forward relay networks
TypeArticle
Issue Number1
Volume Number2016


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