Joint trajectory and CoMP clustering optimization in UAV-assisted cellular systems: a coalition formation game approach
Abstract In this paper, the flexibility of unmanned aerial vehicles (UAVs), as well as the benefits of coordinated multi-point (CoMP) transmission, are utilized for mitigating the interference in cellular networks. Specifically, the joint problem of CoMP clusters and UAVs’ trajectories is addressed...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2023-09-01
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| Series: | EURASIP Journal on Wireless Communications and Networking |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13638-023-02302-y |
| _version_ | 1827725056719978496 |
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| author | Mostafa M. Abdelhakam Mahmoud M. Elmesalawy Ibrahim I. Ibrahim Samir G. Sayed |
| author_facet | Mostafa M. Abdelhakam Mahmoud M. Elmesalawy Ibrahim I. Ibrahim Samir G. Sayed |
| author_sort | Mostafa M. Abdelhakam |
| collection | DOAJ |
| description | Abstract In this paper, the flexibility of unmanned aerial vehicles (UAVs), as well as the benefits of coordinated multi-point (CoMP) transmission, are utilized for mitigating the interference in cellular networks. Specifically, the joint problem of CoMP clusters and UAVs’ trajectories is addressed for downlink transmission in a UAV-assisted cellular system. The problem is presented as a non-convex optimization problem that aims to maximize the sum rate of the ground users by taking into account the clustering, UAV mobility and backhaul capacity constraints. Since the formulated problem is known to be NP-hard, we partition it into two sub-problems. Particularly, by using coalitional game theory, the CoMP clusters are obtained with a given UAVs’ trajectories. Then, UAVs’ trajectories are optimized with given CoMP clusters using successive convex approximation technique. Based on the block coordinate descent method, the two sub-problems are solved alternatively until convergence. Numerical results are conducted and demonstrated the effectiveness of the proposed algorithm. |
| first_indexed | 2024-03-10T22:24:06Z |
| format | Article |
| id | doaj.art-5cea46e285d4428db7c0a7b801a7d21b |
| institution | Directory Open Access Journal |
| issn | 1687-1499 |
| language | English |
| last_indexed | 2024-03-10T22:24:06Z |
| publishDate | 2023-09-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Wireless Communications and Networking |
| spelling | doaj.art-5cea46e285d4428db7c0a7b801a7d21b2023-11-19T12:09:57ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992023-09-012023111910.1186/s13638-023-02302-yJoint trajectory and CoMP clustering optimization in UAV-assisted cellular systems: a coalition formation game approachMostafa M. Abdelhakam0Mahmoud M. Elmesalawy1Ibrahim I. Ibrahim2Samir G. Sayed3Department of Electronics and Communications Engineering, Faculty of Engineering, Helwan UniversityDepartment of Electronics and Communications Engineering, Faculty of Engineering, Helwan UniversityDepartment of Electronics and Communications Engineering, Faculty of Engineering, Helwan UniversityDepartment of Electronics and Communications Engineering, Faculty of Engineering, Helwan UniversityAbstract In this paper, the flexibility of unmanned aerial vehicles (UAVs), as well as the benefits of coordinated multi-point (CoMP) transmission, are utilized for mitigating the interference in cellular networks. Specifically, the joint problem of CoMP clusters and UAVs’ trajectories is addressed for downlink transmission in a UAV-assisted cellular system. The problem is presented as a non-convex optimization problem that aims to maximize the sum rate of the ground users by taking into account the clustering, UAV mobility and backhaul capacity constraints. Since the formulated problem is known to be NP-hard, we partition it into two sub-problems. Particularly, by using coalitional game theory, the CoMP clusters are obtained with a given UAVs’ trajectories. Then, UAVs’ trajectories are optimized with given CoMP clusters using successive convex approximation technique. Based on the block coordinate descent method, the two sub-problems are solved alternatively until convergence. Numerical results are conducted and demonstrated the effectiveness of the proposed algorithm.https://doi.org/10.1186/s13638-023-02302-yUnmanned aerial vehicles (UAVs)Coordinated multi-point (CoMP)Game theoryCoalitional gamesTrajectory optimization |
| spellingShingle | Mostafa M. Abdelhakam Mahmoud M. Elmesalawy Ibrahim I. Ibrahim Samir G. Sayed Joint trajectory and CoMP clustering optimization in UAV-assisted cellular systems: a coalition formation game approach EURASIP Journal on Wireless Communications and Networking Unmanned aerial vehicles (UAVs) Coordinated multi-point (CoMP) Game theory Coalitional games Trajectory optimization |
| title | Joint trajectory and CoMP clustering optimization in UAV-assisted cellular systems: a coalition formation game approach |
| title_full | Joint trajectory and CoMP clustering optimization in UAV-assisted cellular systems: a coalition formation game approach |
| title_fullStr | Joint trajectory and CoMP clustering optimization in UAV-assisted cellular systems: a coalition formation game approach |
| title_full_unstemmed | Joint trajectory and CoMP clustering optimization in UAV-assisted cellular systems: a coalition formation game approach |
| title_short | Joint trajectory and CoMP clustering optimization in UAV-assisted cellular systems: a coalition formation game approach |
| title_sort | joint trajectory and comp clustering optimization in uav assisted cellular systems a coalition formation game approach |
| topic | Unmanned aerial vehicles (UAVs) Coordinated multi-point (CoMP) Game theory Coalitional games Trajectory optimization |
| url | https://doi.org/10.1186/s13638-023-02302-y |
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