A spatial-temporal transformer network for city-level cellular traffic analysis and prediction
With the accelerated popularization of 5G applications, accurate cellular traffic prediction is
becoming increasingly important for efficient network management. Currently, the latest …
becoming increasingly important for efficient network management. Currently, the latest …
Distributed computing and networking coordination for task offloading under uncertainties
The multi-access edge computing (MEC) and ultra-dense network (UDN) are regarded as
essential and complementary technologies in the age of Internet of Things (IoT). Deploying …
essential and complementary technologies in the age of Internet of Things (IoT). Deploying …
Joint optimization of base station activation and user association in ultra dense networks under traffic uncertainty
In ultra-dense networks (UDNs), the dense deployment of base stations (BSs) is facing
challenges due to the pronounced unbalanced traffic loads, severe inter-cell interference …
challenges due to the pronounced unbalanced traffic loads, severe inter-cell interference …
A learning aided long-term user association scheme for ultra-dense networks
In an ultra-dense network (UDN), how to associate the mobile user equipments (UEs) with
the appropriate low power nodes (LPNs) is a very essential and challenging problem …
the appropriate low power nodes (LPNs) is a very essential and challenging problem …
Practical Load Balancing Algorithm for 5G Small Cell Networks Based on Real-World 5G Traffic and O-RAN Architecture
YJ Cho, HM Yoo, KS Kim, J Na, EK Hong - IEEE Access, 2024 - ieeexplore.ieee.org
In the 5G network, small cells play a key role in enhancing network capacity and providing
ultra-fast, low-latency data services. The traffic load per small cell is highly dynamic and …
ultra-fast, low-latency data services. The traffic load per small cell is highly dynamic and …
Research on Intelligent Access of Space-Air-Ground Integrated Network
L Liu, Q Liu - International Conference On Signal And Information …, 2021 - Springer
With its wide coverage, high throughput, and high robustness, the Space-Air-Ground
Integrated Network can be used in a variety of practical fields, including earth observation …
Integrated Network can be used in a variety of practical fields, including earth observation …
[PDF][PDF] Reinforcement Learning-based Methods for Wireless Access Optimization and Multi-Interface Connectivity
DTH Ly - 2022 - ir.soken.ac.jp
Recently, 5G wireless networks introduced three new use cases: Enhanced Mobile
Broadband (eMBB) for high data rate transmissions, Ultra-Reliable Low Latency …
Broadband (eMBB) for high data rate transmissions, Ultra-Reliable Low Latency …
Machine Learning Techniques for Online Resource Allocation in Wireless Networks
N Liakopoulos - 2019 - theses.hal.science
Traditionally, network optimization is used to provide good configurations in real network
system problems based on mathematical models and statistical assumptions. Recently, this …
system problems based on mathematical models and statistical assumptions. Recently, this …
[PDF][PDF] Reinforcement Learning-based Methods for Wireless Access Optimization and Multi-Interface Connectivity (強化学習に基づく無線アクセス最適化とマルチ無線 …
ティーハーリーディン - ir.soken.ac.jp
Recently, 5G wireless networks introduced three new use cases: Enhanced Mobile
Broadband (eMBB) for high data rate transmissions, Ultra-Reliable Low Latency …
Broadband (eMBB) for high data rate transmissions, Ultra-Reliable Low Latency …