Zero touch management: A survey of network automation solutions for 5G and 6G networks
Mobile networks are facing an unprecedented demand for high-speed connectivity
originating from novel mobile applications and services and, in general, from the adoption …
originating from novel mobile applications and services and, in general, from the adoption …
A survey of collaborative machine learning using 5G vehicular communications
SV Balkus, H Wang, BD Cornet… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
By enabling autonomous vehicles (AVs) to share data while driving, 5G vehicular
communications allow AVs to collaborate on solving common autonomous driving tasks …
communications allow AVs to collaborate on solving common autonomous driving tasks …
NOMA and future 5G & B5G wireless networks: A paradigm
For the last few decades, wireless communication has been facing a technological
revolution. High data rate and continuous connectivity are the necessities because the …
revolution. High data rate and continuous connectivity are the necessities because the …
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 …
Deep reinforcement learning-based cloud-edge collaborative mobile computation offloading in industrial networks
S Chen, J Chen, Y Miao, Q Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the rapid development of mobile industrial applications and due to the limited coverage
of static edge servers, traditional edge computing technology has great limitations in …
of static edge servers, traditional edge computing technology has great limitations in …
A power allocation scheme for MIMO-NOMA and D2D vehicular edge computing based on decentralized DRL
In vehicular edge computing (VEC), some tasks can be processed either locally or on the
mobile edge computing (MEC) server at a base station (BS) or a nearby vehicle. In fact …
mobile edge computing (MEC) server at a base station (BS) or a nearby vehicle. In fact …
Cost-effective task offloading in NOMA-enabled vehicular mobile edge computing
Nonorthogonal multiple access (NOMA) and mobile edge computing (MEC) are two key
emerging technologies for vehicular networks, where NOMA allows multiple vehicular user …
emerging technologies for vehicular networks, where NOMA allows multiple vehicular user …
Role of machine learning in resource allocation strategy over vehicular networks: a survey
I Nurcahyani, JW Lee - Sensors, 2021 - mdpi.com
The increasing demand for smart vehicles with many sensing capabilities will escalate data
traffic in vehicular networks. Meanwhile, available network resources are limited. The …
traffic in vehicular networks. Meanwhile, available network resources are limited. The …
[HTML][HTML] Federated reinforcement learning based task offloading approach for MEC-assisted WBAN-enabled IoMT
The exponential proliferation of wearable medical apparatus and healthcare information
within the framework of the Internet of Medical Things (IoMT) introduces supplementary …
within the framework of the Internet of Medical Things (IoMT) introduces supplementary …
Evolution of road traffic congestion control: A survey from perspective of sensing, communication, and computation
Road traffic congestion can inevitably degrade road infrastructure and decrease travel
efficiency in urban traffic networks, which can be relieved by employing appropriate …
efficiency in urban traffic networks, which can be relieved by employing appropriate …