Challenges and solutions for cellular based V2X communications
A wide variety of works have been conducted in vehicle-to-everything (V2X)
communications to enable a variety of applications for road safety, traffic efficiency and …
communications to enable a variety of applications for road safety, traffic efficiency and …
A comprehensive review on device-to-device communication paradigm: trends, challenges and applications
C Chakraborty, JJCP Rodrigues - Wireless Personal Communications, 2020 - Springer
Sensors and smartphones are used in industry and healthcare technology for data
gathering. The sensed data can be acquired by devices and processed through multiple …
gathering. The sensed data can be acquired by devices and processed through multiple …
Deep reinforcement learning based resource allocation for V2V communications
In this paper, we develop a novel decentralized resource allocation mechanism for vehicle-
to-vehicle (V2V) communications based on deep reinforcement learning, which can be …
to-vehicle (V2V) communications based on deep reinforcement learning, which can be …
Spectrum sharing in vehicular networks based on multi-agent reinforcement learning
This paper investigates the spectrum sharing problem in vehicular networks based on multi-
agent reinforcement learning, where multiple vehicle-to-vehicle (V2V) links reuse the …
agent reinforcement learning, where multiple vehicle-to-vehicle (V2V) links reuse the …
Deep-learning-based wireless resource allocation with application to vehicular networks
It has been a long-held belief that judicious resource allocation is critical to mitigating
interference, improving network efficiency, and ultimately optimizing wireless communication …
interference, improving network efficiency, and ultimately optimizing wireless communication …
Edge caching and computation management for real-time internet of vehicles: An online and distributed approach
J Zhao, X Sun, Q Li, X Ma - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) is expected to be an effective solution to meet the ultra-
low delay requirements of many emerging Internet of Vehicles (IoV) services by shifting the …
low delay requirements of many emerging Internet of Vehicles (IoV) services by shifting the …
Toward intelligent vehicular networks: A machine learning framework
As wireless networks evolve toward high mobility and providing better support for connected
vehicles, a number of new challenges arise due to the resulting high dynamics in vehicular …
vehicles, a number of new challenges arise due to the resulting high dynamics in vehicular …
Vehicular communications: A network layer perspective
Vehicular communications, referring to information exchange among vehicles,
infrastructures, etc., have attracted a lot of attention recently due to great potential to support …
infrastructures, etc., have attracted a lot of attention recently due to great potential to support …
Vehicular communications: A physical layer perspective
Vehicular communications have attracted more and more attention recently from both
industry and academia due to their strong potential to enhance road safety, improve traffic …
industry and academia due to their strong potential to enhance road safety, improve traffic …
Intelligent resource management based on reinforcement learning for ultra-reliable and low-latency IoV communication networks
Internet of Vehicles (IoV) has attracted much interest recently due to its ubiquitous message
exchange and content sharing among smart vehicles with the development of the mobile …
exchange and content sharing among smart vehicles with the development of the mobile …