6G wireless communications networks: A comprehensive survey

M Alsabah, MA Naser, BM Mahmmod… - Ieee …, 2021 - ieeexplore.ieee.org
The commercial fifth-generation (5G) wireless communications networks have already been
deployed with the aim of providing high data rates. However, the rapid growth in the number …

Network slicing based learning techniques for iov in 5g and beyond networks

W Hamdi, C Ksouri, H Bulut… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
The effects of transport development on people's lives are diverse, ranging from economy to
tourism, health care, etc. Great progress has been made in this area, which has led to the …

Federated multi-agent deep reinforcement learning for resource allocation of vehicle-to-vehicle communications

X Li, L Lu, W Ni, A Jamalipour… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

Intelligent radio access network slicing for service provisioning in 6G: A hierarchical deep reinforcement learning approach

J Mei, X Wang, K Zheng, G Boudreau… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Network slicing is a key paradigm in 5G and is expected to be inherited in future 6G
networks for the concurrent provisioning of diverse quality of service (QoS). Unfortunately …

A survey on deep learning for ultra-reliable and low-latency communications challenges on 6G wireless systems

A Salh, L Audah, NSM Shah, A Alhammadi… - IEEe …, 2021 - ieeexplore.ieee.org
The sixth generation (6G) wireless communication network presents itself as a promising
technique that can be utilized to provide a fully data-driven network evaluating and …

Cooperative NOMA broadcasting/multicasting for low-latency and high-reliability 5G cellular V2X communications

G Liu, Z Wang, J Hu, Z Ding… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
To achieve low-latency and high-reliability (LLHR) for the vehicle-to-everything (V2X)
services, the Long Term Evolution (LTE)-based solution has been considered as a …

Intelligent computation offloading for MEC-based cooperative vehicle infrastructure system: A deep reinforcement learning approach

H Yang, Z Wei, Z Feng, X Chen, Y Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In the cooperative vehicle infrastructure system, the road side unit (RSU) equipped with a
mobile edge computing (MEC) server and sensors could provide vehicle infrastructure …

Statistical tools and methodologies for ultrareliable low-latency communication—A tutorial

OLA López, NH Mahmood, M Shehab… - Proceedings of the …, 2023 - ieeexplore.ieee.org
Ultrareliable low-latency communication (URLLC) constitutes a key service class of the fifth
generation (5G) and beyond cellular networks. Notably, designing and supporting URLLC …

[HTML][HTML] A cost-efficient 5G non-public network architectural approach: Key concepts and enablers, building blocks and potential use cases

P Trakadas, L Sarakis, A Giannopoulos, S Spantideas… - Sensors, 2021 - mdpi.com
The provision of high data rate services to mobile users combined with improved quality of
experience (ie, zero latency multimedia content) drives technological evolution towards the …

Performance analysis and optimization for semi-persistent scheduling in c-v2x

X Gu, J Peng, L Cai, Y Cheng, X Zhang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
For periodical beacon broadcasting in cellular vehicle-to-everything (C-V2X) networks, a
distributed reservation media access control (MAC) protocol, the sensing-based semi …