From 5G to 6G networks, a survey on AI-Based jamming and interference detection and mitigation

P Lohan, B Kantarci, MA Ferrag… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
Fifth-generation and Beyond (5GB) networks are transformational technologies to
revolutionize future wireless communications in terms of massive connectivity, higher …

Machine Learning Empowered Emerging Wireless Networks in 6G: Recent Advancements, Challenges & Future Trends

HMF Noman, E Hanafi, KA Noordin, K Dimyati… - IEEE …, 2023 - ieeexplore.ieee.org
The upcoming 6G networks are sixth-sense next-generation communication networks with
an ever-increasing demand for enhanced end-to-end (E2E) connectivity towards a …

TDRA: transformer based deep recurrent architecture for automatic modulation classification (AMC) pertinent to intelligent reflecting surface assisted internet of things …

D Sarkar, SS Yadav, LR Cenkeramaddi… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
In wireless networks, automatic modulation classification (AMC) is crucial for enabling
intelligent signal demodulation, thereby enhancing the system's adaptability across various …

Scalable spatial and geometric learning approach for joint power control and channel allocation

M Marwani, G Kaddoum - IEEE Transactions on Wireless …, 2024 - ieeexplore.ieee.org
This research paper introduces an unsupervised scalable probabilistic approach for radio
resource management in device-to-device (D2D) communication networks, essential for …

Deep Learning-aided Channel Allocation Scheme for WLAN

W Lee, JB Seo - IEEE Wireless Communications Letters, 2023 - ieeexplore.ieee.org
In the wireless local area networks (WLANs) based on the IEEE 802.11 technology, the
limited set of channels is shared by a large number of access points (APs), which inevitably …

UAV-assisted wireless-powered two-way communications

G Park, K Heo, W Lee, K Lee - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
In this paper, we investigate the optimal resource allocation in unmanned aerial vehicle
(UAV)-assisted wireless-powered two-way communications. The communication process …

Spectrum Allocation for Multiuser Terahertz Communication Systems: A Machine Learning Approach

A Shafie, N Yang, C Li, X Zhou… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
In this paper, we propose a novel spectrum allocation design, leveraging machine learning,
for multiuser communication systems operating at the terahertz (THz) band. In this design …

Joint ddpg and unsupervised learning for channel allocation and power control in centralized wireless cellular networks

M Sun, E Mei, S Wang, Y ** - Ieee Access, 2023 - ieeexplore.ieee.org
In order to solve the resource allocation problem in scenarios of centralized wireless cellular
communication with multiple cells, users and channels, a novel resource allocation …

Robust transmit power control with imperfect CSI using a deep neural network

W Lee, K Lee - IEEE Transactions on Vehicular Technology, 2021 - ieeexplore.ieee.org
In this paper, a robust transmit power control scheme is proposed for multi-channel underlay
device-to-device (D2D) communications with imperfect channel state information (CSI). The …

RIS-Assisted UAV-Enabled Green Communications for Industrial IoT Exploiting Deep Learning

Q Xu, Q You, Y Gong, X Yang… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT), regarded as an important technology for Industry 4.0, has
the capability to connect massive IoT devices anywhere and at anytime in manufacturing …