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A survey on resource management in joint communication and computing-embedded SAGIN
The advent of the 6G era aims for ubiquitous connectivity, with the integration of non-
terrestrial networks (NTN) offering extensive coverage and enhanced capacity. As …
terrestrial networks (NTN) offering extensive coverage and enhanced capacity. As …
Network slicing: A next generation 5G perspective
Abstract Fifth-generation (5G) wireless networks are projected to bring a major
transformation to the current fourth-generation network to support the billions of devices that …
transformation to the current fourth-generation network to support the billions of devices that …
Towards federated learning in UAV-enabled Internet of Vehicles: A multi-dimensional contract-matching approach
Coupled with the rise of Deep Learning, the wealth of data and enhanced computation
capabilities of Internet of Vehicles (IoV) components enable effective Artificial Intelligence …
capabilities of Internet of Vehicles (IoV) components enable effective Artificial Intelligence …
Resource allocation based on deep reinforcement learning in IoT edge computing
By leveraging mobile edge computing (MEC), a huge amount of data generated by Internet
of Things (IoT) devices can be processed and analyzed at the network edge. However, the …
of Things (IoT) devices can be processed and analyzed at the network edge. However, the …
AI-assisted network-slicing based next-generation wireless networks
The integration of communications with different scales, diverse radio access technologies,
and various network resources renders next-generation wireless networks (NGWNs) highly …
and various network resources renders next-generation wireless networks (NGWNs) highly …
SDN/NFV-empowered future IoV with enhanced communication, computing, and caching
Internet-of-Vehicles (IoV) connects vehicles, sensors, pedestrians, mobile devices, and the
Internet with advanced communication and networking technologies, which can enhance …
Internet with advanced communication and networking technologies, which can enhance …
NOMA assisted multi-task multi-access mobile edge computing via deep reinforcement learning for industrial Internet of Things
Multiaccess mobile edge computing (MA-MEC) has been envisioned as one of the key
approaches for enabling computation-intensive yet delay-sensitive services in future …
approaches for enabling computation-intensive yet delay-sensitive services in future …
A joint service migration and mobility optimization approach for vehicular edge computing
The vehicular edge computing is considered an enabling technology for intelligent and
connected vehicles since the optimization of communication and computing on edge has a …
connected vehicles since the optimization of communication and computing on edge has a …
Delay-minimization routing for heterogeneous VANETs with machine learning based mobility prediction
Establishing and maintaining end-to-end connections in a vehicular ad hoc network
(VANET) is challenging due to the high vehicle mobility, dynamic inter-vehicle spacing, and …
(VANET) is challenging due to the high vehicle mobility, dynamic inter-vehicle spacing, and …
Joint RAN slicing and computation offloading for autonomous vehicular networks: A learning-assisted hierarchical approach
In this paper, a two-timescale radio access network (RAN) slicing and computing task
offloading problem is investigated for a cloud-enabled autonomous vehicular network (C …
offloading problem is investigated for a cloud-enabled autonomous vehicular network (C …