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From 5G to 6G networks, a survey on AI-Based jamming and interference detection and mitigation
Fifth-generation and Beyond (5GB) networks are transformational technologies to
revolutionize future wireless communications in terms of massive connectivity, higher …
revolutionize future wireless communications in terms of massive connectivity, higher …
Machine Learning Empowered Emerging Wireless Networks in 6G: Recent Advancements, Challenges & Future Trends
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 …
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 …
In wireless networks, automatic modulation classification (AMC) is crucial for enabling
intelligent signal demodulation, thereby enhancing the system's adaptability across various …
intelligent signal demodulation, thereby enhancing the system's adaptability across various …
Scalable spatial and geometric learning approach for joint power control and channel allocation
This research paper introduces an unsupervised scalable probabilistic approach for radio
resource management in device-to-device (D2D) communication networks, essential for …
resource management in device-to-device (D2D) communication networks, essential for …
Deep Learning-aided Channel Allocation Scheme for WLAN
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 …
limited set of channels is shared by a large number of access points (APs), which inevitably …
UAV-assisted wireless-powered two-way communications
In this paper, we investigate the optimal resource allocation in unmanned aerial vehicle
(UAV)-assisted wireless-powered two-way communications. The communication process …
(UAV)-assisted wireless-powered two-way communications. The communication process …
Spectrum Allocation for Multiuser Terahertz Communication Systems: A Machine Learning Approach
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 …
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 …
communication with multiple cells, users and channels, a novel resource allocation …
Robust transmit power control with imperfect CSI using a deep neural network
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 …
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 …
the capability to connect massive IoT devices anywhere and at anytime in manufacturing …