[HTML][HTML] A survey on Zero touch network and Service Management (ZSM) for 5G and beyond networks
Faced with the rapid increase in smart Internet-of-Things (IoT) devices and the high demand
for new business-oriented services in the fifth-generation (5G) and beyond network, the …
for new business-oriented services in the fifth-generation (5G) and beyond network, the …
Adversarial machine learning in wireless communications using RF data: A review
D Adesina, CC Hsieh, YE Sagduyu… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Machine learning (ML) provides effective means to learn from spectrum data and solve
complex tasks involved in wireless communications. Supported by recent advances in …
complex tasks involved in wireless communications. Supported by recent advances in …
Overview of deep learning-based CSI feedback in massive MIMO systems
Many performance gains achieved by massive multiple-input and multiple-output depend on
the accuracy of the downlink channel state information (CSI) at the transmitter (base station) …
the accuracy of the downlink channel state information (CSI) at the transmitter (base station) …
Intelligent massive MIMO systems for beyond 5G networks: An overview and future trends
Machine learning (ML) which is a subset of artificial intelligence is expected to unlock the
potential of challenging large-scale problems in conventional massive multiple-input …
potential of challenging large-scale problems in conventional massive multiple-input …
Artificial intelligence in open-radio access network
PH Masur, JH Reed, NK Tripathi - IEEE Aerospace and …, 2022 - ieeexplore.ieee.org
This article outlines the proposed open-radio access network (O-RAN) deployment for fifth-
generation (5G) wireless networks. O-RAN seeks to supplant hardware-specific radio …
generation (5G) wireless networks. O-RAN seeks to supplant hardware-specific radio …
[HTML][HTML] Security concerns on machine learning solutions for 6G networks in mmWave beam prediction
Abstract 6G–sixth generation–is the latest cellular technology currently under development
for wireless communication systems. In recent years, machine learning (ML) algorithms have …
for wireless communication systems. In recent years, machine learning (ML) algorithms have …
Binarized aggregated network with quantization: Flexible deep learning deployment for CSI feedback in massive MIMO systems
Massive multiple-input multiple-output (MIMO) is one of the key techniques to achieve better
spectrum and energy efficiency in 5G system. The channel state information (CSI) needs to …
spectrum and energy efficiency in 5G system. The channel state information (CSI) needs to …
Leakage prediction in machine learning models when using data from sports wearable sensors
Q Dong - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
One of the major problems in machine learning is data leakage, which can be directly
related to adversarial type attacks, raising serious concerns about the validity and reliability …
related to adversarial type attacks, raising serious concerns about the validity and reliability …
[HTML][HTML] On attacking future 5g networks with adversarial examples: Survey
M Zolotukhin, D Zhang, T Hämäläinen, P Miraghaei - Network, 2022 - mdpi.com
The introduction of 5G technology along with the exponential growth in connected devices is
expected to cause a challenge for the efficient and reliable network resource allocation …
expected to cause a challenge for the efficient and reliable network resource allocation …
On Assessing Vulnerabilities of the 5G Networks to Adversarial Examples
M Zolotukhin, P Miraghaei, D Zhang… - IEEE Access, 2022 - ieeexplore.ieee.org
The use of artificial intelligence and machine learning is recognized as the key enabler for
5G mobile networks which would allow service providers to tackle the network complexity …
5G mobile networks which would allow service providers to tackle the network complexity …