Integration of IoT-enabled technologies and artificial intelligence (AI) for smart city scenario: recent advancements and future trends
As the global population grows, and urbanization becomes more prevalent, cities often
struggle to provide convenient, secure, and sustainable lifestyles due to the lack of …
struggle to provide convenient, secure, and sustainable lifestyles due to the lack of …
Five facets of 6G: Research challenges and opportunities
While the fifth-generation systems are being rolled out across the globe, researchers have
turned their attention to the exploration of radical next-generation solutions. At this early …
turned their attention to the exploration of radical next-generation solutions. At this early …
Federated learning in smart city sensing: Challenges and opportunities
Smart Cities sensing is an emerging paradigm to facilitate the transition into smart city
services. The advent of the Internet of Things (IoT) and the widespread use of mobile …
services. The advent of the Internet of Things (IoT) and the widespread use of mobile …
A comprehensive survey on UAV communication channel modeling
Unmanned aerial vehicles (UAVs) have stroke great interested both by the academic
community and the industrial community due to their diverse military applications and …
community and the industrial community due to their diverse military applications and …
Reliable computation offloading for edge-computing-enabled software-defined IoV
Internet of Vehicles (IoV) has drawn great interest recent years. Various IoV applications
have emerged for improving the safety, efficiency, and comfort on the road. Cloud computing …
have emerged for improving the safety, efficiency, and comfort on the road. Cloud computing …
RL/DRL meets vehicular task offloading using edge and vehicular cloudlet: A survey
The last two decades have seen a clear trend toward crafting intelligent vehicles based on
the significant advances in communication and computing paradigms, which provide a safer …
the significant advances in communication and computing paradigms, which provide a safer …
Priority-aware task offloading in vehicular fog computing based on deep reinforcement learning
Vehicular fog computing (VFC) has been expected as a promising scheme that can increase
the computational capability of vehicles without relying on servers. Comparing with …
the computational capability of vehicles without relying on servers. Comparing with …
A survey on security attacks in VANETs: Communication, applications and challenges
Over the past few decades, the intelligent transportation system (ITS) have emerged with
new technologies and becomes the data-driven ITS, because the substantial amount of data …
new technologies and becomes the data-driven ITS, because the substantial amount of data …
Federated multi-agent deep reinforcement learning for resource allocation of vehicle-to-vehicle communications
Dynamic topology, fast-changing channels and the time sensitivity of safety-related services
present challenges to the status quo of resource allocation for cellular-underlaying vehicle …
present challenges to the status quo of resource allocation for cellular-underlaying vehicle …
Decentralized power allocation for MIMO-NOMA vehicular edge computing based on deep reinforcement learning
Vehicular edge computing (VEC) is envisioned as a promising approach to process the
explosive computation tasks of vehicular user (VU). In the VEC system, each VU allocates …
explosive computation tasks of vehicular user (VU). In the VEC system, each VU allocates …