GLR-SEI: Green and low resource specific emitter identification based on complex networks and fisher pruning

Y Lin, H Zha, Y Tu, S Zhang, W Yan… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
Better neural networks, more powerful computer hardware and signal Big Data make deep
learning increasingly important in Specific Emitter Identification (SEI). However, its …

Cognitive-LPWAN: Towards intelligent wireless services in hybrid low power wide area networks

M Chen, Y Miao, X Jian, X Wang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The relentless development of the Internet of Things (IoT) communication technologies and
the gradual maturity of artificial intelligence (AI) have led to a powerful cognitive computing …

A machine learning approach for task and resource allocation in mobile-edge computing-based networks

S Wang, M Chen, X Liu, C Yin, S Cui… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
In this article, a joint task, spectrum, and transmit power allocation problem is investigated for
a wireless network in which the base stations (BSs) are equipped with mobile-edge …

Cellular sensing via cooperative intelligent reflecting surfaces

X Pang, W Mei, N Zhao, R Zhang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Intelligent reflecting surface (IRS) can effectively improve the performance of wireless
communications and target sensing by passive beamforming/searching. In this …

Subcarrier allocation based simultaneous wireless information and power transfer algorithm in 5G cooperative OFDM communication systems

Z Na, Y Wang, X Li, J **a, X Liu, M **ong, W Lu - Physical communication, 2018 - Elsevier
Self-sustainable communications are highly vital for large amounts of mobile terminals in the
Fifth Generation (5G) communication systems. Simultaneous Wireless Information and …

Smart collaborative optimizations strategy for mobile edge computing based on deep reinforcement learning

J Fang, M Zhang, Z Ye, J Shi, J Wei - Computers & Electrical Engineering, 2021 - Elsevier
With the arrival of the 5th generation mobile networks (5 G) era, the data needed by mobile
devices (MDs) is explosively growing. High-consumption, low-latency applications are huge …

Active IRS aided secure transmission with hybrid beamforming

J Zhang, W Wang, J Tang, N Zhao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Intelligent reflecting surface (IRS) could boost the security of wireless communications via
channel reconfiguration. However, when the direct link is strong, the performance gain …

A novel joint time-frequency spectrum resources sustainable risk prediction algorithm based on TFBRL network for the electromagnetic environment

S Li, Y Sun, Y Han, O Alfarraj, A Tolba, PK Sharma - Sustainability, 2023 - mdpi.com
To protect the electromagnetic environment and understand its current state in a timely
manner, monitoring the electromagnetic environment has great practical significance, while …

Joint mobility control and MEC offloading for hybrid satellite-terrestrial-network-enabled robots

P Wei, W Feng, Y Wang, Y Chen, N Ge… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Benefiting from the fusion of communication and intelligent technologies, network-enabled
robots have become important to support future machine-assisted and unmanned …

The magic of superposition: A survey on simultaneous transmission based wireless systems

U Altun, GK Kurt, E Ozdemir - IEEE Access, 2022 - ieeexplore.ieee.org
In conventional communication systems, any interference between two communicating
points is regarded as unwanted noise since it distorts the received signals. On the other …