Deep reinforcement learning based trajectory optimization for UAV-enabled IoT with SWIPT
Y Yang, X Liu - Ad Hoc Networks, 2024 - Elsevier
In scenarios where traditional ground base stations (BS) are unavailable, Unmanned Aerial
Vehicles (UAVs) serve as aerial BS for enabling Internet of Things (IoT) communications …
Vehicles (UAVs) serve as aerial BS for enabling Internet of Things (IoT) communications …
Deep Q-network based reinforcement learning for distributed dynamic spectrum access
MA Yadav, Y Li, G Fang, B Shen - 2022 IEEE 2nd International …, 2022 - ieeexplore.ieee.org
To solve the problem of spectrum scarcity and spectrum under-utilization in wireless
networks, we propose a double deep Q-network based reinforcement learning algorithm for …
networks, we propose a double deep Q-network based reinforcement learning algorithm for …
Listen-After-Collision Mechanism for Dynamic Spectrum Access Using Deep Q-Network With an Improved Thompson Sampling Algorithm
Dynamic spectrum access (DSA) is a key technology in cognitive radios, where secondary
users (SUs) opportunistically access spectral holes of primary users (PUs)(ie, channels …
users (SUs) opportunistically access spectral holes of primary users (PUs)(ie, channels …
A proficient resource allocation using hybrid optimization algorithm for massive internet of health things devices contemplating privacy fortification in cloud edge …
Mobile edge computing has been incorporated with Internet of Things (IoHT) with the
development of 5G technology, which can enhance the network performance efficiently. The …
development of 5G technology, which can enhance the network performance efficiently. The …
GAM-YOLOv8n: enhanced feature extraction and difficult example learning for site distribution box door status detection
S Zhao, TW Cai, B Peng, T Zhang, XB Zhou - Wireless Networks, 2023 - Springer
The detection of distribution box doors on construction sites is particularly important in site
safety management, but the size and posture of distribution boxes vary in different scenarios …
safety management, but the size and posture of distribution boxes vary in different scenarios …
Modulation classification with data augmentation based on a semi-supervised generative model
L Yin, X Xiang, Y Liang, K Liu - Wireless Networks, 2023 - Springer
Although modulation classification with deep learning has been widely explored, this is
challenging when the training data is limited. In this paper, we meet this challenge by data …
challenging when the training data is limited. In this paper, we meet this challenge by data …
[HTML][HTML] An improved monarch butterfly spectrum allocation algorithm for multi-source data stream in complex electromagnetic environment
Y Liu, C Cao, Y Han - EURASIP Journal on Advances in Signal …, 2023 - Springer
In the era of the Internet of Everything, various wireless devices and sensors use spectrum,
which is a precious and non-renewable resource, to communication. Due to the …
which is a precious and non-renewable resource, to communication. Due to the …
Novel STD-ACP for detecting energy and threshold value in the network
OS Anandh, TE Mathew, KV Pradeep… - Wireless …, 2023 - Springer
Abstract Primary User Emulation Attack (PUEA) is the most serious concern in Cognitive
Radio (CR). The PUEA are malevolent users attempt to imitate primary signals and confuse …
Radio (CR). The PUEA are malevolent users attempt to imitate primary signals and confuse …
Cooperative positioning of UAV internet of things based on optimization algorithm
H Hu, YL Chen, B Peng, Z Li, Q Wu, ZR Lin, X Wang - Wireless Networks, 2022 - Springer
Abstract Unmanned Aerial Vehicle (UAV) Internet of things have been widely used in military
and civilian fields such as rescue, disaster relief, urban planning. Positioning service is the …
and civilian fields such as rescue, disaster relief, urban planning. Positioning service is the …
Secrecy capacity of scheduled TAS scheme over non-identical nakagami fading channels
D Lee - Wireless Networks, 2023 - Springer
The purpose of this work is to perform the generalized secrecy capacity (ie, secrecy rate and
secrecy outage capacity) analysis of the scheduled transmit antenna selection scheme over …
secrecy outage capacity) analysis of the scheduled transmit antenna selection scheme over …