Revolutionizing Intelligent Transportation Systems with Cellular Vehicle-to-Everything (C-V2X) technology: Current trends, use cases, emerging technologies …
A Rammohan - Vehicular Communications, 2023 - Elsevier
Abstract The emergence of Cellular Vehicle-to-Everything communication (C-V2X) has
brought significant advancements in the field of Intelligent Transportation Systems. This …
brought significant advancements in the field of Intelligent Transportation Systems. This …
Survey on joint paradigm of 5G and SDN emerging mobile technologies: Architecture, security, challenges and research directions
Modern communication systems are probable to surface new challenges while introducing
innovative fronts concerning context consciousness in wireless networks. The main outcome …
innovative fronts concerning context consciousness in wireless networks. The main outcome …
Wireless and optical convergent access technologies toward 6G
HRD Filgueiras, ES Lima, MSB Cunha… - IEEE …, 2023 - ieeexplore.ieee.org
The sixth generation of mobile communication (6G) systems is recently rising a lot of interest,
introducing new futuristic and challenging use cases that will demand much more than just …
introducing new futuristic and challenging use cases that will demand much more than just …
Emerging technologies for 6G communication networks: Machine learning approaches
The fifth generation achieved tremendous success, which brings high hopes for the next
generation, as evidenced by the sixth generation (6G) key performance indicators, which …
generation, as evidenced by the sixth generation (6G) key performance indicators, which …
[HTML][HTML] Smart traffic shaping based on distributed reinforcement learning for multimedia streaming over 5G-VANET communication technology
Vehicles serve as mobile nodes in a high-mobility MANET technique known as the vehicular
ad hoc network (VANET), which is used in urban and rural areas as well as on highways …
ad hoc network (VANET), which is used in urban and rural areas as well as on highways …
ML-based pre-deployment SDN performance prediction with neural network boosting regression
Software defined networking (SDN) has been proposed as an effective approach to improve
network management efficiency and increase network intelligence in various networks …
network management efficiency and increase network intelligence in various networks …
Intelligent and survivable resource slicing for 6G-oriented UAV-assisted edge computing networks
G Wu, B Zhang, Y Li - Computer Communications, 2023 - Elsevier
Abstract The sixth-generation (6G) communication networks are envisioned to build a cloud–
edge-terminal ecosystem that can provide various AI services for end devices. With the …
edge-terminal ecosystem that can provide various AI services for end devices. With the …
Security of federated learning in 6G era: A review on conceptual techniques and software platforms used for research and analysis
Federated Learning (FL) is an emerging Artificial Intelligence (AI) paradigm enabling
multiple parties to train a model collaboratively without sharing their data. With the upcoming …
multiple parties to train a model collaboratively without sharing their data. With the upcoming …
Resource allocation in multicore elastic optical networks: a deep reinforcement learning approach
A deep reinforcement learning (DRL) approach is applied, for the first time, to solve the
routing, modulation, spectrum, and core allocation (RMSCA) problem in dynamic multicore …
routing, modulation, spectrum, and core allocation (RMSCA) problem in dynamic multicore …
Super-resolution with perceptual quality for improved live streaming delivery on edge computing
J da Mata Liborio Filho, J Oliveira, CAV Melo - Computer Networks, 2024 - Elsevier
According to Cisco projections, mobile connection throughput is anticipated to more than
triple by the year 2023, with the expected typical 5G connection throughput reaching 575 …
triple by the year 2023, with the expected typical 5G connection throughput reaching 575 …