Journal ArticleDOI
Joint Resource Allocation and Trajectory Optimization With QoS in UAV-Based NOMA Wireless Networks
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A heuristic algorithm based on matching and swapping theory is proposed first to allocate users that access UAV in each subperiod, then the transmit power allocation problem which considers the maximum transmit power and minimum user date rate is transformed to a convex optimization problem using logarithmic approximation.Abstract:
Replacing base stations with unmanned aerial vehicles (UAVs) to serve the communication of ground users has attracted a lot of attention recently. In this paper, we study the joint resource allocation and UAV trajectory optimization for maximizing the total energy efficiency in UAV-based non-orthogonal multiple access (NOMA) downlink wireless networks with the quality of service (QoS) requirements. To handle the user scheduling problem, a heuristic algorithm based on matching and swapping theory is proposed first to allocate users that access UAV in each subperiod, then the transmit power allocation problem which considers the maximum transmit power and minimum user date rate is transformed to a convex optimization problem using logarithmic approximation. Meanwhile, the successive convex optimization is used in UAV trajectory optimization problem and a joint optimization algorithm is presented with the algorithm’s convergence and computational complexity. Finally, numerical results are provided to support the rationality of the proposed algorithm.read more
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Optimization of Rate Allocation and Power Control for Rate Splitting Multiple Access (RSMA)
TL;DR: A one-dimensional search algorithm is proposed to obtain the optimal solution of common message transmission power for downlink rate splitting multiple access, which can achieve up to 15.6\% and 21.5\% gains in terms of data rate compared to non-orthogonal multiple access (NOMA) and orthogonal frequency-divisionmultiple access (OFDMA), respectively.
Journal ArticleDOI
Optimization of Rate Allocation and Power Control for Rate Splitting Multiple Access (RSMA)
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IRS Empowered UAV Wireless Communication with Resource Allocation, Reflecting Design and Trajectory Optimization
TL;DR: This paper proposes a UAV trajectory optimization method based on enhanced reinforcement learning with the fixed initial location and destination and the convergence of the proposed scheme is effectively verified by simulations.
Proceedings ArticleDOI
Resource optimization in UAV‐assisted wireless networks—A comprehensive survey
TL;DR: A comprehensive survey of recent advances in UAV‐assisted wireless networks with different objectives, including coverage area, throughput, energy efficiency, quality of service, delay, and outage probability is presented.
References
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Journal ArticleDOI
Wireless communications with unmanned aerial vehicles: opportunities and challenges
TL;DR: An overview of UAV-aided wireless communications is provided, by introducing the basic networking architecture and main channel characteristics, highlighting the key design considerations as well as the new opportunities to be exploited.
Journal ArticleDOI
On Nonlinear Fractional Programming
TL;DR: In this paper, an algorithm for fractional programming with nonlinear as well as linear terms in the numerator and denominator is presented. But the algorithm is based on a theorem by Jagannathan Jagannathy, R. 1966.
Book
Two-Sided Matching: A Study in Game-Theoretic Modeling and Analysis
Alvin E. Roth,Marilda Sotomayor +1 more
TL;DR: The marriage model and the labor market for medical interns, a simple model of one seller and many buyers, and Discrete models with money, and more complex preferences are examined.
Journal ArticleDOI
Joint Trajectory and Communication Design for Multi-UAV Enabled Wireless Networks
Qingqing Wu,Yong Zeng,Rui Zhang +2 more
TL;DR: In this paper, the minimum throughput over all ground users in the downlink communication was maximized by optimizing the multiuser communication scheduling and association jointly with the UAV's trajectory and power control.
Journal ArticleDOI
3-D Placement of an Unmanned Aerial Vehicle Base Station for Maximum Coverage of Users With Different QoS Requirements
TL;DR: This letter is the first in literature that studies a novel 3-D UAV-BS placement that maximizes the number of covered users with different quality-of-service requirements and proposes a low-complexity algorithm, namely, maximal weighted area (MWA) algorithm to tackle the placement problem.