JMAWR: joint optimization of monitoring trail allocation and wavelength routing with limited monitoring resources
Sign Up to like & getrecommendations! Published in 2017 at "Photonic Network Communications"
DOI: 10.1007/s11107-017-0692-1
Abstract: In all-optical networks, monitoring trail (m-trail) has long been proposed as an effective way for link failure localization. Previous works tried to minimize the number of used m-trails for localizing network-wide single link failures, and… read more here.
Keywords: traffic; trail allocation; traffic demand; wavelength routing ... See more keywords
Dynamic traffic demand uncertainty prediction using radio‐frequency identification data and link volume data
Sign Up to like & getrecommendations! Published in 2019 at "IET Intelligent Transport Systems"
DOI: 10.1049/iet-its.2018.5317
Abstract: Dynamic traffic demand is crucial for developing effective strategies and algorithms for real-time traffic management and control. The uncertainty of traffic demand provides additional information while its prediction is very complicated and is inadequately investigated… read more here.
Keywords: uncertainty; dynamic traffic; prediction; traffic demand ... See more keywords
A Deep-Learning Model for Estimating the Impact of Social Events on Traffic Demand on a Cell Basis
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3078113
Abstract: In cellular networks, a deep knowledge of the traffic demand pattern in each cell is essential in network planning and optimization tasks. However, a precise forecast of the traffic time series per cell is hard… read more here.
Keywords: social events; model; traffic demand; traffic ... See more keywords
Alicante-Murcia Freeway Scenario: A High-Accuracy and Large-Scale Traffic Simulation Scenario Generated Using a Novel Traffic Demand Calibration Method in SUMO
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3126269
Abstract: The design, testing and optimization of Vehicle to Everything (V2X), connected and automated driving and Intelligent Transportation Systems (ITS) and technologies requires mobility traces and traffic simulation scenarios that can faithfully characterize the vehicular mobility… read more here.
Keywords: traffic demand; traffic; traffic simulation; scenario ... See more keywords
An RSU Deployment Strategy Based on Traffic Demand in Vehicular Ad Hoc Networks (VANETs)
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3111048
Abstract: The rapid development of connected automatic vehicle (CAV) technology makes vehicular ad hoc networks (VANETs) an urgently needed research field. It includes vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) message flows. A roadside unit (RSU) is an… read more here.
Keywords: road; traffic; traffic demand; rsu deployment ... See more keywords
Rate-Splitting for Joint Unicast and Multicast Transmission in LEO Satellite Networks With Non-Uniform Traffic Demand
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal on Selected Areas in Communications"
DOI: 10.1109/jsac.2024.3460073
Abstract: Low Earth orbit (LEO) satellite communications (SATCOM) with ubiquitous global connectivity is deemed a pivotal catalyst in advancing wireless communication systems for 5G and beyond. LEO SATCOM excels in delivering versatile information services across expansive… read more here.
Keywords: rate; traffic demand; unicast multicast; leo satellite ... See more keywords
Matching Traffic Demand in GEO Multibeam Satellites: The Joint Use of Dynamic Beamforming and Precoding Under Practical Constraints
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Broadcasting"
DOI: 10.1109/tbc.2022.3196173
Abstract: To adjust for the non-uniform spatiotemporal nature of traffic patterns, next-generation high throughput satellite (HTS) systems can benefit from recent technological advancements in the space-segment in order to dynamically design traffic-adaptive beam layout plans (ABLPs).… read more here.
Keywords: multibeam; traffic demand; traffic; dynamic beamforming ... See more keywords
Spatial-Temporal Correlation Learning for Traffic Demand Prediction
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2024.3443341
Abstract: Traffic demand prediction has been drawing increasing research interest due to its critical role in intelligent transportation systems. However, conventional deep learning methods for traffic demand forecast ignore the correlations between the pick-up and drop-off… read more here.
Keywords: traffic demand; demand prediction; demand; attention ... See more keywords
One Method for Predicting Satellite Communication Terminal Service Demands Based on Artificial Intelligence Algorithms
Sign Up to like & getrecommendations! Published in 2024 at "Applied Sciences"
DOI: 10.3390/app14146019
Abstract: This paper presents a traffic demand prediction method based on deep learning algorithms, aiming to address the dynamic traffic demands in satellite communication and enhance resource management efficiency. Integrating Seq2Seq and LSTM networks, the method… read more here.
Keywords: traffic demand; one method; satellite communication; traffic ... See more keywords