Mobile edge computing and machine learning in the internet of unmanned aerial vehicles: a survey

Z Ning, H Hu, X Wang, L Guo, S Guo, G Wang… - ACM Computing …, 2023 - dl.acm.org
Unmanned Aerial Vehicles (UAVs) play an important role in the Internet of Things and form
the paradigm of the Internet of UAVs, due to their characteristics of flexibility, mobility, and …

[HTML][HTML] Green UAV communications for 6G: A survey

X Jiang, M Sheng, Z Nan, X Chengwen… - Chinese journal of …, 2022 - Elsevier
Abstract Unmanned Aerial Vehicles (UAVs) have received a wide range of attention for
military and commercial applications. Enhanced with communication capability, UAVs are …

[PDF][PDF] 面向6G 的无人机通信综述

陈新颖, 盛敏, 李博, 赵楠 - 电子与信息学报, 2022 - jeit.ac.cn
5G 的成功商用为日常生活带来了实质性的变化, 如自动驾驶, 万物互联等,
然而随之也产生了更大的数据量需求, 进而催生了第6 代移动通信. 相较于5G, 6G 在带宽, 时延 …

A survey on UAV-assisted wireless communications: Recent advances and future trends

X Gu, G Zhang - Computer Communications, 2023 - Elsevier
Due to their characteristics of mobility, flexibility and adaptive altitude, unmanned aerial
vehicles (UAVs), also known as drones, have immense potential applications in wireless …

[HTML][HTML] Survey on unmanned aerial vehicle communications for 6G

X Chen, M Sheng, B Li, N Zhao - Journal of Electronics & Information …, 2022 - jeit.ac.cn
Although the application of the fifth-Generation (5G) mobile communication has brought
tremendous innovations to the daily life of human beings, eg, autonomous vehicles and …

RIS-assisted jamming rejection and path planning for UAV-borne IoT platform: A new deep reinforcement learning framework

S Hu, X Yuan, W Ni, X Wang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
This article presents a new deep reinforcement learning (DRL)-based approach to the
trajectory planning and jamming rejection of an unmanned aerial vehicle (UAV) for the …

Resource orchestration and allocation of E2E slices in softwarized UAVs-assisted 6G terrestrial networks

H Cao, N Kumar, L Yang, M Guizani… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are widely recognized as crucial supplementary
component of 6G networks. Owing to the key attributes of UAVs (mobility, flexibility, and …

Optimizing energy and latency trade-offs in mobile ultra-dense IoT networks within futuristic smart vertical networks

V Chunduri, A Kumar, A Joshi, SR Jena… - International Journal of …, 2023 - Springer
Abstract As the Internet of Things (IoT) evolves and is integrated into cutting-edge Smart
Vertical Networks-based IoT, a plethora of IoT mobile devices (IMD) must contend with the …

Game Theory and Reinforcement Learning for Anti-jamming Defense in Wireless Communications: Current Research, Challenges, and Solutions

L Jia, N Qi, Z Su, F Chu, S Fang… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Due to the inherently open and shared nature of the wireless channels, wireless
communication networks are vulnerable to jamming attacks, and effective anti-jamming …

A joint user scheduling and trajectory planning data collection strategy for the UAV-assisted WSN

X Wang, X Liu, CT Cheng, L Deng… - IEEE …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are usually dispatched as mobile sinks to assist data
collection in large-scale wireless sensor networks (WSNs). However, when considering the …