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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Main Authors: Mostafa M. Abdelhakam, Mahmoud M. Elmesalawy, Ibrahim I. Ibrahim, Samir G. Sayed
Format: Article
Language:English
Published: SpringerOpen 2023-09-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Online Access:https://doi.org/10.1186/s13638-023-02302-y
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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.
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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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