Journal ArticleDOI
Multi-UAV Placement and User Association in Uplink MIMO Ultra-Dense Wireless Networks
TLDR
In this paper , the authors proposed an efficient algorithm based on machine learning to solve the first subproblem and optimize the user scheduling by applying the Successive Convex Approximation (SCA) algorithm.Abstract:
This paper investigates an Unmanned Aerial Vehicle (UAV)-enabled network consisting of smart mobile devices and multiple UAVs as aerial base stations in a Multiple-Input Multiple-Output (MIMO) architecture. Mobile devices are partitioned into several clusters and offload their tasks to the UAV servers via the Non-Orthogonal Multiple Access (NOMA) protocol. The main goal of the paper is to jointly maximize the number of served terrestrial users and their scheduling. Moreover, the number of UAV servers and their 3D placement are optimized. To this end, we formulate an optimization problem subject to some Quality of Service (QoS) constraints. The resulting problem is non-convex and intractable to solve. Therefore, we break the problem into two subproblems. We propose an efficient algorithm based on machine learning to solve the first subproblem, i.e., optimizing the number of UAVs and their 3D placements, and the user association. Different from existing literature, our proposed algorithm can achieve low computational complexity and fast convergence. The second subproblem, the user scheduling, is non-convex too. We utilize the <inline-formula><tex-math notation="LaTeX">$\ell _p$</tex-math></inline-formula> -norm concept to find a convex upper bound for the subproblem and optimize the user scheduling by applying the Successive Convex Approximation (SCA) algorithm. The aforementioned process is performed iteratively until the overall algorithm converges and a near-optimal solution is achieved for the optimization problem. Moreover, the computational complexity of the proposed scheme is analyzed. Finally, we evaluate the performance of our proposed algorithm via the simulation results. Regarding fast convergence and low computational complexity of the proposed algorithm, its superior performance is confirmed through numerical results. read more
Citations
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Journal ArticleDOI
Survey on computation offloading in UAV-Enabled mobile edge computing
S. M. A. Huda,Sangman Moh +1 more
TL;DR: In this article , a review of UAV-enabled mobile edge computing (MEC) solutions in which offloading was the focus of research is presented, and open issues and research challenges in terms of design and implementation are discussed.
Journal ArticleDOI
Joint Transmission Scheme and Coded Content Placement in Cluster-Centric UAV-Aided Cellular Networks
TL;DR: In this article , the authors proposed a coded content placement in a cluster-centric cellular network, which is integrated with the coordinated multipoint (CoMP) approach to mitigate the intercell interference in edge areas.
Journal ArticleDOI
Single- and Multiagent Actor–Critic for Initial UAV’s Deployment and 3-D Trajectory Design
TL;DR: This article considers a wireless network consisting of unmanned aerial vehicles, deployed as aerial base stations, and a large number of terrestrial users randomly distributed in a dense urban area, and proposes the single- and multiagent actor–critic (AC) algorithms for UAVs’ initial deployment and trajectory design, where the multiagent scheme employs an efficient bandwidth allocation.
Journal ArticleDOI
Secure Throughput Optimization for Cache-Enabled Multi-UAVs Networks
TL;DR: In this paper , a cache-enabled UAV and Internet of Things mobile devices (IMDs) receive their requested contents via the power domain nonorthogonal multiple access (PD-NOMA) protocol.
Journal ArticleDOI
A systematic literature review of flying ad hoc networks: State‐of‐the‐art, challenges, and perspectives
Faezeh Pasandideh,Joao Paulo C. L. da Costa,Rafael Kunst,Wibowo Hardjawana,Edison Pignaton de Freitas +4 more
TL;DR: In this article , the authors present the limitations of the existing research work and highlight some possible future works on FANETs, as well as the future research directions in the area of FANets are considered within a prospective vision discussion.
References
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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.