Deep reinforcement learning for cyber security
The scale of Internet-connected systems has increased considerably, and these systems are
being exposed to cyberattacks more than ever. The complexity and dynamics of …
being exposed to cyberattacks more than ever. The complexity and dynamics of …
Ultra-low latency (ULL) networks: The IEEE TSN and IETF DetNet standards and related 5G ULL research
A Nasrallah, AS Thyagaturu, Z Alharbi… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
Many network applications, eg, industrial control, demand ultra-low latency (ULL). However,
traditional packet networks can only reduce the end-to-end latencies to the order of tens of …
traditional packet networks can only reduce the end-to-end latencies to the order of tens of …
Joint impacts of imperfect CSI and imperfect SIC in cognitive radio-assisted NOMA-V2X communications
In this study, the performance of a secondary network in cognitive radio (CR) is studied in
the context of vehicle-to-everything (V2X). The non-orthogonal multiple access (NOMA) is …
the context of vehicle-to-everything (V2X). The non-orthogonal multiple access (NOMA) is …
A deep autoencoder trust model for mitigating jamming attack in IoT assisted by cognitive radio
This article proposes deep learning (DL) framework constructed using deep autoencoder
(DAE) to detect the malicious nodes in an Internet of Things (IoT) network assisted by the …
(DAE) to detect the malicious nodes in an Internet of Things (IoT) network assisted by the …
Multi-connectivity for 5G networks and beyond: A survey
To manage a growing number of users and an ever-increasing demand for bandwidth,
future 5th Generation (5G) cellular networks will combine different radio access technologies …
future 5th Generation (5G) cellular networks will combine different radio access technologies …
A comprehensive survey on 6G and beyond: Enabling technologies, opportunities of machine learning and challenges
Multiple nations are now in the process of launching 5G mobile networks. All of the telecoms
industry has been revolutionized by the concept of 5G networks. Since late 2018 …
industry has been revolutionized by the concept of 5G networks. Since late 2018 …
5G mobile services and scenarios: Challenges and solutions
The Fifth generation (5G) network is projected to support large amount of data traffic and
massive number of wireless connections. Different data traffic has different Quality of Service …
massive number of wireless connections. Different data traffic has different Quality of Service …
[HTML][HTML] Multimedia communication over cognitive radio networks from QoS/QoE perspective: A comprehensive survey
The stringent requirements of wireless multimedia transmission lead to very high radio
spectrum solicitation. Although the radio spectrum is considered as a scarce resource, the …
spectrum solicitation. Although the radio spectrum is considered as a scarce resource, the …
Machine learning techniques and a case study for intelligent wireless networks
With the widespread deployment of wireless technologies and IoT, 5G wireless networks will
support various communication connectivity and services for the huge number of wireless …
support various communication connectivity and services for the huge number of wireless …
Secure energy efficiency for NOMA based cognitive radio networks with nonlinear energy harvesting
D Wang, S Men - IEEE Access, 2018 - ieeexplore.ieee.org
In order to improve the spectrum efficiency and secrecy energy efficiency, in this paper, we
propose a non-orthogonal multiple access (NOMA)-based secure scheme for cognitive radio …
propose a non-orthogonal multiple access (NOMA)-based secure scheme for cognitive radio …