Jamming attacks and anti-jamming strategies in wireless networks: A comprehensive survey

H Pirayesh, H Zeng - IEEE communications surveys & tutorials, 2022 - ieeexplore.ieee.org
Wireless networks are a key component of the telecommunications infrastructure in our
society, and wireless services become increasingly important as the applications of wireless …

Zero touch management: A survey of network automation solutions for 5G and 6G networks

E Coronado, R Behravesh… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Mobile networks are facing an unprecedented demand for high-speed connectivity
originating from novel mobile applications and services and, in general, from the adoption …

Innovative trends in the 6G era: A comprehensive survey of architecture, applications, technologies, and challenges

VK Quy, A Chehri, NM Quy, ND Han, NT Ban - IEEE Access, 2023 - ieeexplore.ieee.org
While the fifth-generation mobile network is being commercialized worldwide, researchers
have recently started looking towards the next generation, called the 6G network. Unlike 5G …

Machine and deep learning for resource allocation in multi-access edge computing: A survey

H Djigal, J Xu, L Liu, Y Zhang - IEEE Communications Surveys …, 2022 - ieeexplore.ieee.org
With the rapid development of Internet-of-Things (IoT) devices and mobile communication
technologies, Multi-access Edge Computing (MEC) has emerged as a promising paradigm …

A review of deep learning in 5G research: Channel coding, massive MIMO, multiple access, resource allocation, and network security

A Ly, YD Yao - IEEE Open Journal of the Communications …, 2021 - ieeexplore.ieee.org
The current development of 5G technology is flourishing with widespread deployment
across the world at a rapid pace. However, there is still a demand concerning 5G research …

Resource allocation schemes for 5G network: A systematic review

MA Kamal, HW Raza, MM Alam, MM Su'ud, AAB Sajak - Sensors, 2021 - mdpi.com
Fifth-generation (5G) communication technology is intended to offer higher data rates,
outstanding user exposure, lower power consumption, and extremely short latency. Such …

Joint DNN partition deployment and resource allocation for delay-sensitive deep learning inference in IoT

W He, S Guo, S Guo, X Qiu, F Qi - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Nowadays, the widely used Internet-of-Things (IoT) mobile devices (MDs) generate huge
volumes of data, which need analyzing and extracting accurate information in real time by …

Applications of machine learning in resource management for RAN-slicing in 5G and beyond networks: A survey

Y Azimi, S Yousefi, H Kalbkhani, T Kunz - IEEE Access, 2022 - ieeexplore.ieee.org
One of the key foundations of 5th Generation (5G) and beyond 5G (B5G) networks is
network slicing, in which the network is partitioned into several separated logical networks …

Rational planning and urban governance based on smart cities and big data

X Xiao, C Xie - Environmental Technology & Innovation, 2021 - Elsevier
With the development of computer big data technology, people's needs for smart cities are
gradually increasing. The construction of smart cities should not only give” smart” the things …

Lorawan meets ml: A survey on enhancing performance with machine learning

A Farhad, JY Pyun - Sensors, 2023 - mdpi.com
The Internet of Things is rapidly growing with the demand for low-power, long-range
wireless communication technologies. Long Range Wide Area Network (LoRaWAN) is one …