Spectrum options and allocations for 6G: A regulatory and standardization review
The upcoming sixth generation (6G) mobile communication system is expected to operate
across a wide range of spectrum that includes not only the bands used by previous …
across a wide range of spectrum that includes not only the bands used by previous …
Task-oriented communication for edge video analytics
With the development of artificial intelligence (AI) techniques and the increasing popularity
of camera-equipped devices, many edge video analytics applications are emerging, calling …
of camera-equipped devices, many edge video analytics applications are emerging, calling …
Edge learning for 6g-enabled internet of things: A comprehensive survey of vulnerabilities, datasets, and defenses
The deployment of the fifth-generation (5G) wireless networks in Internet of Everything (IoE)
applications and future networks (eg, sixth-generation (6G) networks) has raised a number …
applications and future networks (eg, sixth-generation (6G) networks) has raised a number …
Adaptive resource allocation for semantic communication networks
In this paper, we propose an adaptive semantic resource allocation paradigm with semantic-
bit quantization (SBQ) compatible with existing wireless communications, where the …
bit quantization (SBQ) compatible with existing wireless communications, where the …
[HTML][HTML] On the dependability of 6G networks
Sixth-generation communication networks must be highly dependable due to the foreseen
connectivity of critical infrastructures through them. Dependability is a compound metric of …
connectivity of critical infrastructures through them. Dependability is a compound metric of …
Review and perspectives of micro/nano technologies as key-enablers of 6G
J Iannacci, HV Poor - IEEE Access, 2022 - ieeexplore.ieee.org
To date, the rollout of 5G (5 th generation of mobile communications) has been ongoing for
more than two years, with most of it still to come. Meanwhile, Key-Performance Indicators …
more than two years, with most of it still to come. Meanwhile, Key-Performance Indicators …
Distributed communication and computation resource management for digital twin-aided edge computing with short-packet communications
D Van Huynh, VD Nguyen… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
For future networks, it is highly demanding to satisfy a wide range of time-sensitive and
computation-intensive services. This is a very challenging task, since it requires a …
computation-intensive services. This is a very challenging task, since it requires a …
Distributed machine learning for uav swarms: Computing, sensing, and semantics
The unmanned aerial vehicle (UAV) swarms have shown great potential to serve next-
generation communication networks with their extraordinary flexibility, affordability, and the …
generation communication networks with their extraordinary flexibility, affordability, and the …
Federated learning via unmanned aerial vehicle
Federated learning (FL) has emerged as a promising alternative to centralized machine
learning for exploiting large amounts of data generated by networks while ensuring data …
learning for exploiting large amounts of data generated by networks while ensuring data …
Vertical federated learning over cloud-RAN: Convergence analysis and system optimization
Vertical federated learning (FL) is a collaborative machine learning framework that enables
devices to learn a global model from the feature-partition datasets without sharing local raw …
devices to learn a global model from the feature-partition datasets without sharing local raw …