Achievable Rates of UAV-Relayed Cooperative Cognitive Radio MIMO Systems
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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2017-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/7904625/ |
| _version_ | 1818853777467244544 |
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| author | Lokman Sboui Hakim Ghazzai Zouheir Rezki Mohamed-Slim Alouini |
| author_facet | Lokman Sboui Hakim Ghazzai Zouheir Rezki Mohamed-Slim Alouini |
| author_sort | Lokman Sboui |
| collection | DOAJ |
| description | 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 the 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. |
| first_indexed | 2024-12-19T07:42:12Z |
| format | Article |
| id | doaj.art-00ff5533b52047e0b00469bbfa5e62b4 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T07:42:12Z |
| publishDate | 2017-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-00ff5533b52047e0b00469bbfa5e62b42022-12-21T20:30:26ZengIEEEIEEE Access2169-35362017-01-0155190520410.1109/ACCESS.2017.26955867904625Achievable Rates of UAV-Relayed Cooperative Cognitive Radio MIMO SystemsLokman Sboui0https://orcid.org/0000-0003-1134-4055Hakim Ghazzai1https://orcid.org/0000-0002-8636-4264Zouheir Rezki2Mohamed-Slim Alouini3King Abdullah University of Science and Technology, Thuwal, Saudi ArabiaQatar Mobility Innovations Center, Qatar University, Doha, QatarUniversity of Idaho, Moscow, ID, USAKing Abdullah University of Science and Technology, Thuwal, Saudi ArabiaWe 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 the 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.https://ieeexplore.ieee.org/document/7904625/MIMO space alignmentrelay matrix optimizationUAV-based communicationunderlay cognitive radio |
| spellingShingle | Lokman Sboui Hakim Ghazzai Zouheir Rezki Mohamed-Slim Alouini Achievable Rates of UAV-Relayed Cooperative Cognitive Radio MIMO Systems IEEE Access MIMO space alignment relay matrix optimization UAV-based communication underlay cognitive radio |
| title | Achievable Rates of UAV-Relayed Cooperative Cognitive Radio MIMO Systems |
| title_full | Achievable Rates of UAV-Relayed Cooperative Cognitive Radio MIMO Systems |
| title_fullStr | Achievable Rates of UAV-Relayed Cooperative Cognitive Radio MIMO Systems |
| title_full_unstemmed | Achievable Rates of UAV-Relayed Cooperative Cognitive Radio MIMO Systems |
| title_short | Achievable Rates of UAV-Relayed Cooperative Cognitive Radio MIMO Systems |
| title_sort | achievable rates of uav relayed cooperative cognitive radio mimo systems |
| topic | MIMO space alignment relay matrix optimization UAV-based communication underlay cognitive radio |
| url | https://ieeexplore.ieee.org/document/7904625/ |
| work_keys_str_mv | AT lokmansboui achievableratesofuavrelayedcooperativecognitiveradiomimosystems AT hakimghazzai achievableratesofuavrelayedcooperativecognitiveradiomimosystems AT zouheirrezki achievableratesofuavrelayedcooperativecognitiveradiomimosystems AT mohamedslimalouini achievableratesofuavrelayedcooperativecognitiveradiomimosystems |