6533b7d9fe1ef96bd126c2b8
RESEARCH PRODUCT
Sparsity-aware multiple relay selection in large multi-hop decode-and-forward relay networks
Ridha HamilaNaofal Al-dhahirSebti FoufouAla GouissemAla Gouissemsubject
wireless networksTheoretical computer scienceComputer scienceMultiple relay selectionsComplex networks050801 communication & media studiesfeedback02 engineering and technologyData_CODINGANDINFORMATIONTHEORYchannelslaw.inventionHop (networking)diversityCommunication channels (information theory)[SPI]Engineering Sciences [physics]0508 media and communicationsMSERelaylaw0202 electrical engineering electronic engineering information engineeringComputer Science::Networking and Internet Architecture[ SPI ] Engineering Sciences [physics]Computer Science::Information TheoryLarge DF relay networksLink Access Procedure for Frame Relaycooperative networks05 social sciencesComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSRelay control systems020206 networking & telecommunicationsChannel state informationChannel state informationRelay selectionOutage probabilityAlgorithmRelay channeldescription
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. NPRP grant 6-070-2-024 from the Qatar National Research Fund (a member of Qatar Foundation) Scopus
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2016-07-21 |