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Article
Open AccessCore network traffic prediction based on vertical federated learning and split learning
Wireless traffic prediction is vital for intelligent cellular network operations, such as load-aware resource management and predictive control. Traditional centralized training addresses this but poses issues...
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Article
Beam prediction and tracking mechanism with enhanced LSTM for mmWave aerial base station
By combining millimeter wave (mmWave) with abundant spectral resources and advanced directional beamforming technology, mmWave aerial base stations (mAeBSs) can provide high-speed services to users on the grou...
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Chapter and Conference Paper
Distributed Core Network Traffic Prediction Architecture Based on Vertical Federated Learning
Network traffic prediction has always been an important research topic, frequently employed in intelligent network operations for load awareness, re-source management, and predictive control. Most existing met...
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Chapter and Conference Paper
Energy Efficient Multi-aerial Base Station Deployment Via DDPG-Mix Algorithm
Compared to ground base stations, aerial base stations (AeBSs) offer advantages in terms of overcoming limitations posed by complex terrain and transportation constraints, providing broader coverage and faster...
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Chapter and Conference Paper
Deep Learning-Based Beam Alignment and Tracking Mechanism for mmWave Aerial Base Station
Millimeter wave (mmWave) aerial base stations offer distinct advantages such as enhanced flexibility and mobility compared to ground base station communication. Additionally, the utilization of mmWave technolo...
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Article
Open AccessHypergraph convolution mix DDPG for multi-aerial base station deployment
Aerial base stations (AeBS), as crucial components of air-ground integrated networks, can serve as the edge nodes to provide flexible services to ground users. Optimizing the deployment of multiple AeBSs to ma...
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Article
Open AccessPPO-based deployment and phase control for movable intelligent reflecting surface
Intelligent reflecting surface (IRS) stands as a promising technology to revolutionize wireless communication by manipulating incident signal amplitudes and phases to enhance system performance. While existing...
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Article
Open AccessHAP-assisted multi-aerial base station deployment for capacity enhancement via federated deep reinforcement learning
Aerial base stations (AeBSs), as crucial components of air-ground integrated networks, are widely employed in cloud computing, disaster relief, and various applications. How to quickly and efficiently deploy m...
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Article
Open AccessMFGAD-INT: in-band network telemetry data-driven anomaly detection using multi-feature fusion graph deep learning
As the cloud services market grows, cloud management tools that detect network anomalies in a non-intrusive manner are critical to improve users’ experience of cloud services. However, some network anomalies, ...
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Chapter and Conference Paper
A Survey on Task Offloading in Edge Computing for Smart Grid
With the rapid development of smart grid, traditional cloud computing architectures struggle to meet the needs of new power applications with low latency and large connectivity in the context of big data. Henc...
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Chapter and Conference Paper
5G NR Test Technology Progresses and Challenges
The Fifth Generation Mobile Communication System (5G) test, as a key link of the entire communication industry chain, can verify the whole 5G network equipment and the new technologies that are constantly evol...
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Chapter and Conference Paper
Joint Resource and Power Allocation Algorithm for Multi Cell Slicing Service in Power Grid
This paper studies the resource scheduling scheme for assuring the quality of service (QoS) of different slices in the power grid, which makes efficient use of the limited spectrum resource while taking into a...
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Article
Open AccessShape adaptive IRS based SAG IoT network
6G technology connects physical and digital, and ubiquitous 6G services will provide convenience to users around the world. The concept of the world-earth integrated network is to seamlessly integrate these th...
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Article
Open AccessDeep learning-based BackCom multiple beamforming for 6G UAV IoT networks
Combining unmanned aerial vehicles (UAVs) with 6G, Internet of Things (IoT) and other emerging communication technologies could better satisfy various IoT applications and create more innovative services. This...
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Article
Deep Reinforcement Learning Aided Cell Outage Compensation Framework in 5G Cloud Radio Access Networks
As one of the key technologies of 5G, Cloud Radio Access Networks (C-RAN) with cloud BBUs (Base Band Units) pool architecture and distributed RRHs (Remote Radio Heads) can provide the ubiquitous services. When...
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Article
Benders Decomposition-based video bandwidth allocation in mobile media cloud network
Due to the fast growth of wireless multimedia applications, mobile media cloud network is getting more and more popular. In the architecture of mobile media cloud network, the wireless access points are placed...