Joint Trajectory and Resource Optimization for RIS Assisted UAV Cognitive Radio
Unmanned ariel vehicle (UAV) can be used in cognitive radio (CR) due to its high mobility and line-of-sight (LoS) transmission. However, the throughput of secondary user (SU) may decrease because of interference arising from spectrum sharing. Reconfigurable intelligent surface (RIS) may overcome the...
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| Vydáno v: | IEEE transactions on vehicular technology Ročník 72; číslo 10; s. 1 - 6 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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New York
IEEE
01.10.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 0018-9545, 1939-9359 |
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| Abstract | Unmanned ariel vehicle (UAV) can be used in cognitive radio (CR) due to its high mobility and line-of-sight (LoS) transmission. However, the throughput of secondary user (SU) may decrease because of interference arising from spectrum sharing. Reconfigurable intelligent surface (RIS) may overcome the interference by reconstructing the propagation links. Our aim is to maximize the throughput of SU subject to the interference constraint of primary user (PU) through the joint optimization of the UAV's trajectory, RIS's passive beamforming and UAV's power allocation. We divide the formulated non-convex optimization problem into three subproblems: passive beamforming optimization, power allocation optimization and trajectory design, and then propose an alternating iterative optimization algorithm of the subproblems to get the suboptimal solutions. Numerical results show the proposed algorithm can achieve remarkable throughput gain. |
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| AbstractList | Unmanned ariel vehicle (UAV) can be used in cognitive radio (CR) due to its high mobility and line-of-sight (LoS) transmission. However, the throughput of secondary user (SU) may decrease because of interference arising from spectrum sharing. Reconfigurable intelligent surface (RIS) may overcome the interference by reconstructing the propagation links. Our aim is to maximize the throughput of SU subject to the interference constraint of primary user (PU) through the joint optimization of the UAV's trajectory, RIS's passive beamforming and UAV's power allocation. We divide the formulated non-convex optimization problem into three subproblems: passive beamforming optimization, power allocation optimization and trajectory design, and then propose an alternating iterative optimization algorithm of the subproblems to get the suboptimal solutions. Numerical results show the proposed algorithm can achieve remarkable throughput gain. |
| Author | Durrani, Tariq S Liu, Xin Yu, Yingfeng Liu, Zechen |
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| SubjectTerms | Algorithms Beamforming Cognitive radio Convexity Design optimization Interference Iterative algorithms Iterative methods Line of sight Optimization Resource management Rician channels RIS Throughput Trajectory trajectory optimization UAV Unmanned aerial vehicles |
| Title | Joint Trajectory and Resource Optimization for RIS Assisted UAV Cognitive Radio |
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