Multi-task and multi-objective joint resource optimization for UAV-assisted air-ground integrated networks under emergency scenarios

X Song, M Cheng, L Lei, Y Yang - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
To face the challenges in emergency scenarios, a multitask and multiobjective optimization
algorithm for computation offloading and relay communication is investigated for the air …

Distributed unsupervised learning for interference management in integrated sensing and communication systems

X Liu, H Zhang, K Long, A Nallanathan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Nowadays, the multi-access interference problem in the ISAC systems can not be ignored.
The study on interference management in ISAC has been envisioned as one of key …

Decentralized learning and model averaging based automatic modulation classification in drone communication systems

M Ma, Y Xu, Z Wang, X Fu, G Gui - Drones, 2023 - mdpi.com
Automatic modulation classification (AMC) is a promising technology to identify the
modulation mode of the received signal in drone communication systems. Recently …

Joint optimization of dnn partition and continuous task scheduling for digital twin-aided mec network with deep reinforcement learning

S Yuan, Z Zhang, Q Li, W Li, Y Zhang - IEEE Access, 2023 - ieeexplore.ieee.org
Nowadays, mobile application services face the challenges of high speed, low latency and
high reliability. The combination of digital twin (DT) technology and mobile edge computing …

Automatic modulation recognition based on a multiscale network with statistical features

K Liu, F Li - Physical Communication, 2023 - Elsevier
Automatic modulation recognition (AMR) can be used in dynamic spectrum access (DSA)
techniques to reduce the pressure on spectrum resources. In this paper, we propose a …

A Novel method of Improving Spectrum sensing Management system for CR-IoT Networks

A Chaturvedi, KDV Prasad, D Gowda… - 2023 4th …, 2023 - ieeexplore.ieee.org
The term" cognitive radio" refers to radios that are able to" learn" and" detect" the optimal
ways to use the available spectrum, and then" adapt" their own operational settings …

Distributed Resource Allocation With Federated Learning for Delay-Sensitive IoV Services

X Song, Y Hua, Y Yang, G Xing, F Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this paper, we propose a distributed sidelink resource allocation approach named
federated multi-agent deep Q network (FMDQN). The objective is the network spectrum …

DTN assisted dynamic cooperative slicing for delay-sensitive service in MEC-enabled IoT via deep deterministic policy gradient with variable action

L Li, L Tang, Q Liu, Y Wang, X He… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Network slicing (NS) provides customized services to users of the Internet of Things (IoT) by
creating logical virtual networks, and NS combined with multiaccess edge computing (MEC) …

Intelligent Resource Allocation for V2V Communication with Spectrum–Energy Efficiency Maximization

C Xu, S Wang, P Song, K Li, T Song - Sensors, 2023 - mdpi.com
Aiming to address the limitations of traditional resource allocation algorithms in the Internet
of Vehicles (IoV), whereby they cannot meet the stringent demands for ultra-low latency and …

Graph convolutional reinforcement learning for resource allocation in hybrid overlay–underlay cognitive radio network with network slicing

S Yuan, Y Zhang, T Ma, Z Cheng, D Guo - IET Communications, 2023 - Wiley Online Library
Nowadays, wireless communication system is facing the problems of spectrum resource
shortage. Cognitive radio technology allows cognitive users to use the spectrums authorized …