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UAV assisted 5G and beyond wireless networks: A survey

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TLDR
Optimize 3D placement and resource allocation, state of the artwork, solution and future research directions are presented in this article.
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This article is published in Journal of Network and Computer Applications.The article was published on 2021-09-01. It has received 50 citations till now. The article focuses on the topics: Wireless network & Wireless.

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A Survey on the Convergence of Edge Computing and AI for UAVs: Opportunities and Challenges

TL;DR: This article provides a comprehensive analysis of the impact of edge AI on key UAV technical aspects and applications and explores UAV-based edge AI implementation challenges, lessons learned, and future research directions.
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An Overview of Reinforcement Learning Algorithms for Handover Management in 5G Ultra-Dense Small Cell Networks

TL;DR: This survey presented 5G mobility management in ultra-dense small cells networks using reinforcement learning techniques and discussed how machine learning algorithms can help in different HO scenarios.
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A Survey on the Convergence of Edge Computing and AI for UAVs: Opportunities and Challenges

TL;DR: In this article , the authors provide a comprehensive analysis of the impact of edge artificial intelligence on key UAV technical aspects (e.g., autonomous navigation, formation control, power management, security and privacy, computer vision, and communication) and applications (i.e., delivery systems, civil infrastructure inspection, precision agriculture, search and rescue (SAR) operations, acting as aerial wireless base stations (BSs), and drone light shows).
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Blockchain-based Federated Learning in UAVs Beyond 5G Networks: A Solution Taxonomy and Future Directions

TL;DR: The survey aims to aid researchers in developing potential UAV solutions with the key integrating principles over a diverse set of application verticals and presents a solution taxonomy of BC-based FL in UAVs for B5G networks due to the open problem.
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NOMA and future 5G & B5G wireless networks: A paradigm

TL;DR: In this paper , a survey on NOMA and future 5G and B5G wireless communication networks is presented, which includes requirements and technologies for 5G, channel modeling, the role of nOMA in 5G/B5G, types of nomaa, NOMa's network architecture, mobility management (MM) in NOMaa, asynchronous and synchronous operations in NomA, energy and green aspects of nomo, Nomo's challenges, solutions to these challenges, nomo's performance indicators, and future research directions for next-generation wireless communication network.
References
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Journal ArticleDOI

Particle swarm optimization

TL;DR: A snapshot of particle swarming from the authors’ perspective, including variations in the algorithm, current and ongoing research, applications and open problems, is included.
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The Internet of Things: A survey

TL;DR: This survey is directed to those who want to approach this complex discipline and contribute to its development, and finds that still major issues shall be faced by the research community.
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The particle swarm - explosion, stability, and convergence in a multidimensional complex space

TL;DR: This paper analyzes a particle's trajectory as it moves in discrete time, then progresses to the view of it in continuous time, leading to a generalized model of the algorithm, containing a set of coefficients to control the system's convergence tendencies.
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Millimeter Wave Mobile Communications for 5G Cellular: It Will Work!

TL;DR: The motivation for new mm-wave cellular systems, methodology, and hardware for measurements are presented and a variety of measurement results are offered that show 28 and 38 GHz frequencies can be used when employing steerable directional antennas at base stations and mobile devices.
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Massive MIMO for next generation wireless systems

TL;DR: While massive MIMO renders many traditional research problems irrelevant, it uncovers entirely new problems that urgently need attention: the challenge of making many low-cost low-precision components that work effectively together, acquisition and synchronization for newly joined terminals, the exploitation of extra degrees of freedom provided by the excess of service antennas, reducing internal power consumption to achieve total energy efficiency reductions, and finding new deployment scenarios.
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