Dynamic monitoring method of regional communication network service quality for digital city construction

In order to ensure the stable and safe production and operation of dispatching data network, a dynamic monitoring method of regional communication network service quality for digital city construction is proposed. The network quality monitoring technology is applied to dispatching data network. Probe equipment for network quality monitoring is deployed at the exit side of each service area of backbone network and access network to implement end-to-end real-time detection of services. The low efficiency of manual testing, troubleshooting into efficient, intelligent real-time monitoring and positioning. Through simple reports and charts, we can directly evaluate the network operation and improve the efficiency of operation and maintenance.

[1]  Daniel Benevides da Costa,et al.  IEEE Access Special Section Editorial: Advances in Statistical Channel Modeling for Future Wireless Communications Networks , 2020, IEEE Access.

[2]  Ming Lei,et al.  Throughput maximization for UAV-assisted wireless powered D2D communication networks with a hybrid time division duplex/frequency division duplex scheme , 2021, Wireless Networks.

[3]  Christian Sauer,et al.  Flooding-Based Network Monitoring for Mobile Wireless Networks , 2019, J. Commun..

[4]  Bithin Datta,et al.  Adaptive Management of Coastal Aquifers Using Entropy-Set Pair Analysis–Based Three-Dimensional Sequential Monitoring Network Design , 2019 .

[5]  Chul-Hwan Kim,et al.  Robust Centralized Control for DC Islanded Microgrid Considering Communication Network Delay , 2020, IEEE Access.

[6]  Aduwati Sali,et al.  On-The-Move Measurement Analysis for Ka-Band High Throughput Satellite and LiFi Communication Networks in Tropical Region , 2021, IEEE Access.

[7]  Marija Furdek,et al.  Machine Learning for Optical Network Security Monitoring: A Practical Perspective , 2020, Journal of Lightwave Technology.

[8]  Alexandros Kaloxylos,et al.  Low-Latency Infrastructure-Based Cellular V2V Communications for Multi-Operator Environments With Regional Split , 2021, IEEE Transactions on Intelligent Transportation Systems.

[9]  Enrique Personal,et al.  Heterogeneous LoRa-Based Wireless Multimedia Sensor Network Multiprocessor Platform for Environmental Monitoring , 2019, Sensors.

[10]  Dinh Thai Hoang,et al.  User Cooperation in Wireless-Powered Backscatter Communication Networks , 2019, IEEE Wireless Communications Letters.

[11]  Ian F. Akyildiz,et al.  A new CubeSat design with reconfigurable multi-band radios for dynamic spectrum satellite communication networks , 2019, Ad Hoc Networks.

[12]  Oskars Ozolins,et al.  Spectrum Anomaly Detection for Optical Network Monitoring Using Deep Unsupervised Learning , 2021, IEEE Communications Letters.

[13]  Rose Qingyang Hu,et al.  Deep Reinforcement Learning Based Dynamic Reputation Policy in 5G Based Vehicular Communication Networks , 2021, IEEE Transactions on Vehicular Technology.

[14]  Hairong Dong,et al.  Coordinated Time-Varying Low Gain Feedback Control of High-Speed Trains Under a Delayed Communication Network , 2021 .

[15]  Rongke Liu,et al.  Prioritized Uplink Resource Allocation in Smart Grid Backscatter Communication Networks via Deep Reinforcement Learning , 2020 .

[16]  An Efficient Deep-Learning-Based Detection and Classification System for Cyber-Attacks in IoT Communication Networks , 2020, Electronics.

[17]  Gaofeng Pan,et al.  Optimal Relay Selection Scheme with Multiantenna Power Beacon for Wireless-Powered Cooperation Communication Networks , 2021, Sensors.

[18]  Behrouz Tork Ladani,et al.  A Model for Social Communication Network in Mobile Instant Messaging Systems , 2020, IEEE Transactions on Computational Social Systems.

[19]  Rihab Jmal,et al.  Softwarized Internet of Things Network Monitoring , 2020 .