Delay Optimization in Multi-UAV Edge Caching Networks: A Robust Mean Field Game

Li, Lixin; Wang, Meng; Xue, Kaiyuan; Cheng, Qianqian; Wang, Dawei; Chen, Wei; Pan, Miao; Han, Zhu

doi:10.1109/tvt.2020.3045509

Cited by 35 publications

(11 citation statements)

References 44 publications

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“…Another critical aspect in UAV data transmission is to minimize delay in downloading speed that can be resolved by flexible replacement of BSs. 103 The authors used mean field game theory for the control of large-scale UAVs. The results depicted that the delay using less energy.…”

Section: Delay Minimizationmentioning

confidence: 99%

Resource optimization in UAV‐assisted wireless networks—A comprehensive survey

Basharat

Naeem

Qadir

et al. 2022

Trans Emerging Tel Tech

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Unmanned aerial vehicles (UAVs) are inevitable to meet the requirements of future wireless networks. Recently, researchers have investigated diverse issues related to UAV‐assisted networks (including placement of UAVs, resource management, and spectrum sharing) for a broad range of applications, including disaster management, data collection from the ground sensor network, surveillance, logistic support, etc. This article presents a comprehensive survey of recent advances in UAV‐assisted networks. We mainly emphasize the optimization perspective of UAV‐assisted wireless networks with different objectives, including coverage area, throughput, energy efficiency, quality of service, delay, and outage probability. We provide a detailed discussion for each objective with their constraints, optimization problem, solution approach, and performance metrics. We also provide relationships among different objectives and parameters considered in the literature. Finally, we list open research issues and future research directions to improve UAV‐assisted wireless networks in the context of optimization.

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Section: Delay Minimizationmentioning

confidence: 99%

Resource optimization in UAV‐assisted wireless networks—A comprehensive survey

Basharat

Naeem

Qadir

et al. 2022

Trans Emerging Tel Tech

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“…In view of the abovementioned characteristics of full spectrum, three-dimensional and fragmentation of 6G, we proposed to use UAV platforms to carry out collaborative spectrum sensing of 6G communication network. As a remote control command or according to its own program control aircraft, unmanned aerial vehicles (UAVs) with spectrum sensing nodes are capable of achieving fast, accurate, and flexible spectrum sensing effect [6][7][8][9][10][11][12]. In the past decades, the use and development UAVs has experienced an explosive growth as the performance of electronic devices has improved and costs have fallen.…”

Section: Inductionmentioning

confidence: 99%

“…In this case, it is necessary to plan a reasonable path to realize the patrol of the designated observation area. Compared with the topology optimization of static sensor network, the path planning of the UAV network needs to consider both the strict restrictions of communication link and energy consumption [9]. The route of the UAV cluster is planned based on the static coverage sensor network, and the overall observation environment is divided into several zones.…”

Section: Inductionmentioning

confidence: 99%

UAV‐Based Collaborative Electronic Reconnaissance Network for 6G

Yang

Song

Xiong

et al. 2021

Wireless Communications and Mobile Computing

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In unmanned aerial vehicle (UAV) collaborative electronic reconnaissance network, single UAV is always restricted by flyability and sensing capacity; hence, a cooperative network is built to realize the electronic reconnaissance. In this paper, a three-level electronic reconnaissance network is proposed, including the radiation target, UAV-based electronic reconnaissance equipment, and the command center. Each of the UAVs is capable of monitoring several radiation targets at the same time. Since the topology of the UAV network influences the effect of electronic reconnaissance, in this contribution, optimization is achieved based on the improvement of radiation coverage. If there is no radiation target within the sensing scope, the corresponding UAV will remove according to our novel strategy. Iterate operations are carried out for the relative optimum performance. Simulation results show that the UAV network topology optimization is capable of improving the coverage of radiation targets effectively.

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“…Such mean field approximation can thus be used to model the distribution of states (such as aggregated interference from other setups), which significantly simplifies the original problem which analyzes the coupling and gaming between every two players, thus reduces the computational complexity. One recent example is [106] for minimizing delay and energy consumption in a UAVs-caching system. In this work, a distributed delay optimization algorithm based on mean field game theory is proposed to model the large-scale UAVs caching and dynamic flight strategy problem.…”

Section: Mean Field Game and Evolutionary Gamementioning

confidence: 99%

Game Theory and Machine Learning in UAVs-Assisted Wireless Communication Networks: A Survey

Zhou,

Guan,

Hayajneh

et al. 2021

Preprint

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In recent years, Unmanned Aerial Vehicles (UAVs) have been used in fields such as architecture, business delivery, military and civilian theaters, and many others. With increased applications comes the increased demand for advanced algorithms for resource allocation and energy management. As is well known, game theory and machine learning are two powerful tools already widely used in the wireless communication field and there are numerous surveys of game theory and machine learning usage in wireless communication. Existing surveys however focus either on game theory or machine learning and due to this fact, the current article surveys both game-theoretic and machine learning algorithms for use by UAVs in Wireless Communication Networks (U-WCNs). We also discuss how to combine game theory and machine learning for solving problems in U-WCNs and identify several future research directions.

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Delay Optimization in Multi-UAV Edge Caching Networks: A Robust Mean Field Game

Cited by 35 publications

References 44 publications

Resource optimization in UAV‐assisted wireless networks—A comprehensive survey

Resource optimization in UAV‐assisted wireless networks—A comprehensive survey

UAV‐Based Collaborative Electronic Reconnaissance Network for 6G

Game Theory and Machine Learning in UAVs-Assisted Wireless Communication Networks: A Survey

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