Resource allocation and task off-loading for 6G enabled smart edge environments
There has been an enormous increase in information flow and communication data due to
the rapid rise in the number of Internet of Everything (IoE) devices and the development of …
the rapid rise in the number of Internet of Everything (IoE) devices and the development of …
Dynamic optimization of random access in deadline-constrained broadcasting
This paper considers dynamic optimization of random access in deadline-constrained
broadcasting with frame-synchronized traffic. Under the non-retransmission setting, we …
broadcasting with frame-synchronized traffic. Under the non-retransmission setting, we …
Machine Learning with Computer Networks: Techniques, Datasets and Models
Machine learning has found many applications in network contexts. These include solving
optimisation problems and managing network operations. Conversely, networks are …
optimisation problems and managing network operations. Conversely, networks are …
On meeting a maximum delay constraint using reinforcement learning
H Shafieirad, RS Adve - IEEE Access, 2022 - ieeexplore.ieee.org
Several emerging applications in wireless communications are required to achieve low
latency, but also high traffic rates and reliabilities. From a latency point of view, most of the …
latency, but also high traffic rates and reliabilities. From a latency point of view, most of the …
Intelligent task off-loading and resource allocation for IOE devices in smart environment
SU Jamil - 2023 - researchoutput.csu.edu.au
Abstract The Internet of Everything (IoE) enables the smart environment to monitor multiple
geographically distributed IoE nodes. There has been an enormous increase in information …
geographically distributed IoE nodes. There has been an enormous increase in information …
The Story of : ALOHA-based and Reinforcement-Learning-based Random Access for Delay-Constrained Communications
Motivated by the proliferation of real-time applications in multimedia communication
systems, tactile Internet, and cyber-physical systems, supporting delay-constrained traffic …
systems, tactile Internet, and cyber-physical systems, supporting delay-constrained traffic …
Reinforcement Learning for Improved Random Access in Delay-Constrained Heterogeneous Wireless Networks
L Deng, D Wu, Z Liu, Y Zhang, YS Han - arXiv preprint arXiv:2205.02057, 2022 - arxiv.org
In this paper, we for the first time investigate the random access problem for a delay-
constrained heterogeneous wireless network. We begin with a simple two-device problem …
constrained heterogeneous wireless network. We begin with a simple two-device problem …
[PDF][PDF] Machine Learning With Computer Networks: Techniques, Datasets, and Models
Machine learning has found many applications in network contexts. These include solving
optimisation problems and managing network operations. Conversely, networks are …
optimisation problems and managing network operations. Conversely, networks are …