Towards Massive Distribution of Intelligence for 6G Network Management using Double Deep Q-Networks
S Majumdar, S Schwarzmann… - … on Network and …, 2023 - ieeexplore.ieee.org
In future 6G networks, the deployment of network elements is expected to be highly
distributed, going beyond the level of distribution of existing 5G deployments. To fully exploit …
distributed, going beyond the level of distribution of existing 5G deployments. To fully exploit …
[HTML][HTML] Enabling intrinsic intelligence, ubiquitous learning and blockchain empowerment for trust and reliability in 6G network evolution
This study investigates the 6th Generation (6G) wireless communication network as a vital
component of Ubiquitous Learning, which makes it possible to build trustworthy …
component of Ubiquitous Learning, which makes it possible to build trustworthy …
Flexible and Fine-grained Access Control for EHR in Blockchain-assisted E-healthcare Systems
It is of the utmost importance to achieve flexible and fine-grained access control of electronic
health records (EHR) in smart elderly healthcare (SEH) for providing high-quality healthcare …
health records (EHR) in smart elderly healthcare (SEH) for providing high-quality healthcare …
Secure and Flexible Data Sharing With Dual Privacy Protection in Vehicular Digital Twin Networks
Vehicular digital twin networks (VDTNs) offer great opportunities for driver safety
enhancements. By leveraging digital twin (DT) technology, VDTNs can collect and analyze …
enhancements. By leveraging digital twin (DT) technology, VDTNs can collect and analyze …
Rethinking data center networks: Machine learning enables network intelligence
To support the needs of ever-growing cloud-based services, the number of servers and
network devices in data centers is increasing exponentially, which in turn results in high …
network devices in data centers is increasing exponentially, which in turn results in high …
Digital Twin-based 3D Map Management for Edge-assisted Device Pose Tracking in Mobile AR
Edge-device collaboration has the potential to facilitate compute-intensive device pose
tracking for resource-constrained mobile augmented reality (MAR) devices. In this paper, we …
tracking for resource-constrained mobile augmented reality (MAR) devices. In this paper, we …
Iterated Filters for Nonlinear Transition Models
A new class of iterated linearization-based nonlinear filters, dubbed dynamically iterated
filters, is presented. Contrary to regular iterated filters such as the iterated extended Kalman …
filters, is presented. Contrary to regular iterated filters such as the iterated extended Kalman …
Smreto: Stable matching for reliable and efficient task offloading in fog-enabled IoT networks
Fog computing is a key technology that supports timely and efficient computation of different
tasks in IoT networks. By using the nearby fog nodes for quick task computation, application …
tasks in IoT networks. By using the nearby fog nodes for quick task computation, application …
Sparse Mobile Crowdsensing for Cost-Effective Traffic State Estimation With Spatio-Temporal Transformer Graph Neural Network
J Xue, Y Xu, W Wu, T Zhang, Q Shen… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Recently, mobile crowdsensing (MCS) has emerged as a promising solution for traffic state
estimation (TSE), which provides real-time and accurate traffic information for supporting …
estimation (TSE), which provides real-time and accurate traffic information for supporting …
Aerial IRSs Assisted Energy-Efficient Task Offloading and Computing
Timely and energy-efficient task offloading and computing can be challenging in mobile
edge computing (MEC) networks when the communication links between devices and edge …
edge computing (MEC) networks when the communication links between devices and edge …