Application of reinforcement learning and deep learning in multiple-input and multiple-output (MIMO) systems
The current wireless communication infrastructure has to face exponential development in
mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems …
mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems …
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 …
From 5G to 6G technology: meets energy, internet-of-things and machine learning: a survey
Due to the rapid development of the fifth-generation (5G) applications, and increased
demand for even faster communication networks, we expected to witness the birth of a new …
demand for even faster communication networks, we expected to witness the birth of a new …
ADAPTIVE6G: Adaptive resource management for network slicing architectures in current 5G and future 6G systems
Future intelligent wireless networks demand an adaptive learning approach towards a
shared learning model to allow collaboration between data generated by network elements …
shared learning model to allow collaboration between data generated by network elements …
The future of artificial intelligence in cybersecurity: A comprehensive survey
F Tao, MS Akhtar, Z Jiayuan - EAI Endorsed Transactions on …, 2021 - publications.eai.eu
AI in Cybersecurity Market scheme helps organizations in observance, detecting, reporting,
and countering cyber threats to keep up information confidentiality. The increasing …
and countering cyber threats to keep up information confidentiality. The increasing …
A deep ensemble-based wireless receiver architecture for mitigating adversarial attacks in automatic modulation classification
Deep learning-based automatic modulation classification (AMC) models are susceptible to
adversarial attacks. Such attacks inject specifically crafted wireless interference into …
adversarial attacks. Such attacks inject specifically crafted wireless interference into …
[HTML][HTML] Knowledge-defined networking: Applications, challenges and future work
Future 6G wireless communication systems are expected to feature intelligence and
automation. Knowledge-defined networking (KDN) is an evolutionary step toward …
automation. Knowledge-defined networking (KDN) is an evolutionary step toward …
Development of a data-driven mobile 5g testbed: Platform for experimental research
Y Wang, A Gorski, AP da Silva - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
The presented 5G testbed aims to prototype an end-to-end mobile data-driven platform for
experimental 5G and interdisciplinary research. The testbed design and implementation for …
experimental 5G and interdisciplinary research. The testbed design and implementation for …
Wild networks: Exposure of 5G network infrastructures to adversarial examples
G Apruzzese, R Vladimirov… - … on Network and …, 2022 - ieeexplore.ieee.org
Fifth Generation (5G) networks must support billions of heterogeneous devices while
guaranteeing optimal Quality of Service (QoS). Such requirements are impossible to meet …
guaranteeing optimal Quality of Service (QoS). Such requirements are impossible to meet …
Robust automatic modulation classification in the presence of adversarial attacks
Automatic modulation classification (AMC) is used in intelligent receivers operating in
shared spectrum environments to classify the modulation constellation of radio frequency …
shared spectrum environments to classify the modulation constellation of radio frequency …