Advanced deep learning models for 6G: overview, opportunities and challenges

L Jiao, Y Shao, L Sun, F Liu, S Yang, W Ma, L Li… - IEEE …, 2024 - ieeexplore.ieee.org
The advent of the sixth generation of mobile communications (6G) ushers in an era of
heightened demand for advanced network intelligence to tackle the challenges of an …

Distributed relative localization algorithms for multi-robot networks: A survey

S Wang, Y Wang, D Li, Q Zhao - Sensors, 2023 - mdpi.com
For a network of robots working in a specific environment, relative localization among robots
is the basis for accomplishing various upper-level tasks. To avoid the latency and fragility of …

A multistate network approach for resilience analysis of uav swarm considering information exchange capacity

T Liu, G Bai, J Tao, YA Zhang, Y Fang - Reliability Engineering & System …, 2024 - Elsevier
Unmanned aerial vehicle (UAV) swarms can perform tasks in a self-organized and self-
adaptive manner, and are thus appropriate for resilience research. An efficient and resilient …

Toward resilient network slicing for satellite–terrestrial edge computing IoT

HH Esmat, B Lorenzo, W Shi - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Satellite–terrestrial edge computing networks (STECNs) emerged as a global solution to
support multiple Internet of Things (IoT) applications in 6G networks. The enabling …

A soft resource optimization method for improving the resilience of UAV swarms under continuous attack

H Li, Q Sun, Y Zhong, Z Huang, Y Zhang - Reliability Engineering & System …, 2023 - Elsevier
Resilience is a comprehensive metric that measures the ability of an unmanned aerial
vehicle (UAV) swarm to resist and recover after being attacked. Improving resilience is …

Coverage control for UAV swarm communication networks: A distributed learning approach

N Gao, L Liang, D Cai, X Li, S Jin - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Recently, unmanned aerial vehicle (UAV) swarm communication has drawn much attention
in search and rescue (SAR) missions owing to its wide wireless coverage and increasing …

A dynamic resilience evaluation method for cross-domain swarms in confrontation

C Zhang, T Liu, G Bai, J Tao, W Zhu - Reliability Engineering & System …, 2024 - Elsevier
As a typical Internet of Things system, unmanned swarms can execute missions efficiently,
while reduce risks and ensure personnel safety during operations. Because swarms in …

A kill chain optimization method for improving the resilience of unmanned combat system-of-systems

Y Zhong, H Li, Q Sun, Z Huang, Y Zhang - Chaos, Solitons & Fractals, 2024 - Elsevier
Unmanned combat system-of-systems (UCSoS) refers to a new type of combat force
composed of unmanned combat platforms with different capabilities and whose structure …

Transformer-based reinforcement learning for scalable multi-uav area coverage

D Chen, Q Qi, Q Fu, J Wang, J Liao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Compared with terrestrial networks, unmanned aerial vehicles (UAVs) have the
characteristics of flexible deployment and strong adaptability, which are an important …

Resilience evaluation of UAV swarm considering resource supplementation

L Kong, L Wang, Z Cao, X Wang - Reliability Engineering & System Safety, 2024 - Elsevier
In open-resource environments, unmanned aerial vehicle (UAV) swarms typically
dynamically supplement and replace UAVs in the event of mission loss. During this process …