Deep learning in the industrial internet of things: Potentials, challenges, and emerging applications
Recent advances in the Internet of Things (IoT) are giving rise to a proliferation of
interconnected devices, allowing the use of various smart applications. The enormous …
interconnected devices, allowing the use of various smart applications. The enormous …
Deep learning-aided 6G wireless networks: A comprehensive survey of revolutionary PHY architectures
Deep learning (DL) has proven its unprecedented success in diverse fields such as
computer vision, natural language processing, and speech recognition by its strong …
computer vision, natural language processing, and speech recognition by its strong …
Task offloading for wireless VR-enabled medical treatment with blockchain security using collective reinforcement learning
Wireless virtual reality (VR)-enabled medical treatment (WVMT) system, integrating the VR
technology and the platform of the Internet of Medical Things (IoMT), is a promising …
technology and the platform of the Internet of Medical Things (IoMT), is a promising …
Extensive edge intelligence for future vehicular networks in 6G
The 6th generation mobile network (6G) is expected to achieve a fully connected world. As a
key enabling technology in 6G, edge intelligence (EI) combines artificial intelligence (AI) …
key enabling technology in 6G, edge intelligence (EI) combines artificial intelligence (AI) …
Age-of-information aware scheduling for edge-assisted industrial wireless networks
Industrial wireless networks (IWNs) have attracted significant attention for providing time-
critical delivery services, which can benefit from device-to-device (D2D) communication for …
critical delivery services, which can benefit from device-to-device (D2D) communication for …
Deep-waveform: A learned OFDM receiver based on deep complex-valued convolutional networks
The (inverse) discrete Fourier transform (DFT/IDFT) is often perceived as essential to
orthogonal frequency-division multiplexing (OFDM) systems. In this paper, a deep complex …
orthogonal frequency-division multiplexing (OFDM) systems. In this paper, a deep complex …
Wireless virtual reality in beyond 5G systems with the internet of intelligence
Virtual reality (VR) over wireless has promising applications in healthcare, education,
entertainment, and industrial production. However, it is difficult for the existing wireless …
entertainment, and industrial production. However, it is difficult for the existing wireless …
Cooperative search for dynamic targets by multiple UAVs with communication data losses
L Li, X Zhang, W Yue, Z Liu - ISA transactions, 2021 - Elsevier
This paper studies the problem of cooperative searching for dynamical moving targets by
multiple unmanned aerial vehicles (UAVs). The environmental information possessed by …
multiple unmanned aerial vehicles (UAVs). The environmental information possessed by …
Enhancing channel estimation accuracy in polar-coded MIMO–OFDM systems via CNN with 5G channel models
M Meenalakshmi, S Chaturvedi, VK Dwivedi - AEU-International Journal of …, 2024 - Elsevier
In this paper, a novel channel estimation technique for multiple-input multiple-output
orthogonal frequency-division multiplexing (MIMO–OFDM) systems in fifth generation (5G) …
orthogonal frequency-division multiplexing (MIMO–OFDM) systems in fifth generation (5G) …
OFDM Receiver Design With Learning-Driven Automatic Modulation Recognition
The orthogonal frequency-division multiplexing (OFDM) is widely used in modern radio
communications because of its efficient spectrum utilization. As we know, the adaptive …
communications because of its efficient spectrum utilization. As we know, the adaptive …