Achievable Rates of UAV-Relayed Cooperative Cognitive Radio MIMO Systems

Handle URI:
http://hdl.handle.net/10754/623404
Title:
Achievable Rates of UAV-Relayed Cooperative Cognitive Radio MIMO Systems
Authors:
Sboui, Lokman ( 0000-0003-1134-4055 ) ; Ghazzai, Hakim; Rezki, Zouheir; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
We study the achievable rate of an uplink MIMO cognitive radio system where the primary user (PU) and the secondary user (SU) aim to communicate to the closest primary base station (BS) via a multi-access channel through the same unmanned aerial vehicle (UAV) relay. The SU message is then forwarded from the primary BS to the secondary network with a certain incentive reward as a part of the cooperation protocol between both networks. A special linear precoding scheme is proposed to enable the SU to exploit the PU free eigenmodes. We analyze two scenarios in which the UAV relay gain matrix is either fixed or optimized. We derive the optimal power allocation that maximizes the achievable rate of the SU respecting power budget, interference, and relay power constraints. Numerical results highlight the cognitive rate gain of our proposed scheme with respect to various problem parameters. We also highlight the effect of UAV altitude on the SU and PU rates. Finally, when the relay matrix is optimized, we show that the PU rate is remarkably enhanced and that the SU rate is only improved at high power regime.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Electrical Engineering Program
Citation:
Sboui L, Ghazzai H, Rezki Z, Alouini M-S (2017) Achievable Rates of UAV-Relayed Cooperative Cognitive Radio MIMO Systems. IEEE Access: 1–1. Available: http://dx.doi.org/10.1109/ACCESS.2017.2695586.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Access
Issue Date:
19-Apr-2017
DOI:
10.1109/ACCESS.2017.2695586
Type:
Article
ISSN:
2169-3536
Additional Links:
http://ieeexplore.ieee.org/document/7904625/
Appears in Collections:
Articles; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorSboui, Lokmanen
dc.contributor.authorGhazzai, Hakimen
dc.contributor.authorRezki, Zouheiren
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2017-05-09T08:34:33Z-
dc.date.available2017-05-09T08:34:33Z-
dc.date.issued2017-04-19en
dc.identifier.citationSboui L, Ghazzai H, Rezki Z, Alouini M-S (2017) Achievable Rates of UAV-Relayed Cooperative Cognitive Radio MIMO Systems. IEEE Access: 1–1. Available: http://dx.doi.org/10.1109/ACCESS.2017.2695586.en
dc.identifier.issn2169-3536en
dc.identifier.doi10.1109/ACCESS.2017.2695586en
dc.identifier.urihttp://hdl.handle.net/10754/623404-
dc.description.abstractWe study the achievable rate of an uplink MIMO cognitive radio system where the primary user (PU) and the secondary user (SU) aim to communicate to the closest primary base station (BS) via a multi-access channel through the same unmanned aerial vehicle (UAV) relay. The SU message is then forwarded from the primary BS to the secondary network with a certain incentive reward as a part of the cooperation protocol between both networks. A special linear precoding scheme is proposed to enable the SU to exploit the PU free eigenmodes. We analyze two scenarios in which the UAV relay gain matrix is either fixed or optimized. We derive the optimal power allocation that maximizes the achievable rate of the SU respecting power budget, interference, and relay power constraints. Numerical results highlight the cognitive rate gain of our proposed scheme with respect to various problem parameters. We also highlight the effect of UAV altitude on the SU and PU rates. Finally, when the relay matrix is optimized, we show that the PU rate is remarkably enhanced and that the SU rate is only improved at high power regime.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/document/7904625/en
dc.rights(c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Released under the IEEE Open Access Publishing Agreement.en
dc.rights.urihttp://www.ieee.org/publications_standards/publications/rights/oa_author_choices.htmlen
dc.subjectMIMO space alignmenten
dc.subjectrelay matrix optimizationen
dc.subjectUAV-based communicationen
dc.subjectunderlay cognitive radioen
dc.titleAchievable Rates of UAV-Relayed Cooperative Cognitive Radio MIMO Systemsen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.identifier.journalIEEE Accessen
dc.eprint.versionPost-printen
dc.contributor.institutionQatar Mobility Innovations Center (QMIC), Qatar University, Doha, Qataren
dc.contributor.institutionUniversity of Idaho, Moscow, ID, USen
kaust.authorSboui, Lokmanen
kaust.authorAlouini, Mohamed-Slimen
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