A survey on the convergence of edge computing and AI for UAVs: Opportunities and challenges
The latest 5G mobile networks have enabled many exciting Internet of Things (IoT)
applications that employ unmanned aerial vehicles (UAVs/drones). The success of most …
applications that employ unmanned aerial vehicles (UAVs/drones). The success of most …
UAV-assisted data collection for Internet of Things: A survey
Thanks to the advantages of flexible deployment and high mobility, unmanned aerial
vehicles (UAVs) have been widely applied in the areas of disaster management, agricultural …
vehicles (UAVs) have been widely applied in the areas of disaster management, agricultural …
A survey of UAV-based data collection: Challenges, solutions and future perspectives
Abstract Internet of Things (IoT) generates unlimited data, which should be collected and
forwarded towards a central controller (CC) for further processing and decision-making …
forwarded towards a central controller (CC) for further processing and decision-making …
Applications of deep reinforcement learning in communications and networking: A survey
This paper presents a comprehensive literature review on applications of deep
reinforcement learning (DRL) in communications and networking. Modern networks, eg …
reinforcement learning (DRL) in communications and networking. Modern networks, eg …
Deep reinforcement learning for Internet of Things: A comprehensive survey
The incumbent Internet of Things suffers from poor scalability and elasticity exhibiting in
communication, computing, caching and control (4Cs) problems. The recent advances in …
communication, computing, caching and control (4Cs) problems. The recent advances in …
Unmanned aerial vehicles (UAVs): A survey on civil applications and key research challenges
The use of unmanned aerial vehicles (UAVs) is growing rapidly across many civil
application domains, including real-time monitoring, providing wireless coverage, remote …
application domains, including real-time monitoring, providing wireless coverage, remote …
A survey on mobile crowdsensing systems: Challenges, solutions, and opportunities
Mobile crowdsensing (MCS) has gained significant attention in recent years and has
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …
Thirty years of machine learning: The road to Pareto-optimal wireless networks
Future wireless networks have a substantial potential in terms of supporting a broad range of
complex compelling applications both in military and civilian fields, where the users are able …
complex compelling applications both in military and civilian fields, where the users are able …
Energy-efficient UAV control for effective and fair communication coverage: A deep reinforcement learning approach
Unmanned aerial vehicles (UAVs) can be used to serve as aerial base stations to enhance
both the coverage and performance of communication networks in various scenarios, such …
both the coverage and performance of communication networks in various scenarios, such …
[HTML][HTML] Green UAV communications for 6G: A survey
Abstract Unmanned Aerial Vehicles (UAVs) have received a wide range of attention for
military and commercial applications. Enhanced with communication capability, UAVs are …
military and commercial applications. Enhanced with communication capability, UAVs are …