Xianfu Chen

Orcid: 0000-0002-9453-4200

Affiliations:
  • VTT Technical Research Centre of Finland, Oulu, Finland


According to our database1, Xianfu Chen authored at least 161 papers between 2009 and 2024.

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Bibliography

2024
Select2Col: Leveraging Spatial-Temporal Importance of Semantic Information for Efficient Collaborative Perception.
IEEE Trans. Veh. Technol., September, 2024

Semantics-Enhanced Temporal Graph Networks for Content Popularity Prediction.
IEEE Trans. Mob. Comput., August, 2024

An Energy-Efficient Deep Mutual Learning System Based on D2D-U Communications.
IEEE Trans. Wirel. Commun., July, 2024

Reconfigurable Intelligent Surface-Assisted Multisatellite Cooperative Downlink Beamforming.
IEEE Internet Things J., July, 2024

Adaptive NOMA-Based Spectrum Sensing for Uplink IoT Networks.
IEEE Trans. Cogn. Commun. Netw., February, 2024

A Reinforcement Learning-Based Incentive Scheme for Multi-Hop Communications in Vehicular Networks.
IEEE Trans. Cogn. Commun. Netw., February, 2024

A Blockchain-Based Trust-Value Management Approach for Secure Information Sharing in Internet of Vehicles.
IEEE Internet Things J., January, 2024

Semantic segmentation-based semantic communication system for image transmission.
Digit. Commun. Networks, 2024

Communication and Control Co-Design in 6G: Sequential Decision-Making with LLMs.
CoRR, 2024

Semantics-Empowered Communications: A Tutorial-Cum-Survey.
IEEE Commun. Surv. Tutorials, 2024

Multi-User Interaction Experience Optimization in the Metaverse.
Proceedings of the IEEE INFOCOM 2024, 2024

Multiclass Remote Interference Prediction Network Using Genetic Programming.
Proceedings of the IEEE International Conference on Communications, 2024

Information Freshness Optimization in UAV-aided Vehicular Metaverse: A PPO-based Learning Approach.
Proceedings of the IEEE International Conference on Communications, 2024

2023
Communication and Energy Efficient Decentralized Learning Over D2D Networks.
IEEE Trans. Wirel. Commun., December, 2023

Energy-Efficient Mutual Learning Over D2D Communications.
IEEE Trans. Veh. Technol., December, 2023

Toward Optimal Real-Time Volumetric Video Streaming: A Rolling Optimization and Deep Reinforcement Learning Based Approach.
IEEE Trans. Circuits Syst. Video Technol., December, 2023

An Optimal Distributed Energy-Efficient Resource Scheduling for D2D-U Enabled Cellular Networks.
IEEE Trans. Cogn. Commun. Netw., August, 2023

Nonlinear Online Incentive Mechanism Design in Edge Computing Systems With Energy Budget.
IEEE Trans. Mob. Comput., July, 2023

Rethinking Modern Communication from Semantic Coding to Semantic Communication.
IEEE Wirel. Commun., February, 2023

WISDOM: Wi-Fi-Based Contactless Multiuser Activity Recognition.
IEEE Internet Things J., January, 2023

Low-Latency Edge Video Analytics for On-Road Perception of Autonomous Ground Vehicles.
IEEE Trans. Ind. Informatics, 2023

Meta-Networking: Beyond the Shannon Limit with Multi-Faceted Information.
IEEE Netw., 2023

Distributed Resource Management in Unlicensed Assisted Mobile Edge Computing.
IEEE Internet Things J., 2023

Feature-Based Spectrum Sensing of NOMA System for Cognitive IoT Networks.
IEEE Internet Things J., 2023

Multiagent Meta-Reinforcement Learning for Optimized Task Scheduling in Heterogeneous Edge Computing Systems.
IEEE Internet Things J., 2023

Rethinking Collaborative Perception from the Spatial-Temporal Importance of Semantic Information.
CoRR, 2023

Semantic Communication for Efficient Image Transmission Tasks based on Masked Autoencoders.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

SRes-NeRF: Improved Neural Radiance Fields for Realism and Accuracy of Specular Reflections.
Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

Enhance Detection of SSVEPs through a Sinusoidal-Referenced Task-Related Component Analysis Method.
Proceedings of the IEEE INFOCOM 2023, 2023

Improving the Transferability of Adversarial Examples with Diverse Gradients.
Proceedings of the International Joint Conference on Neural Networks, 2023

Semantics-Enhanced Temporal Graph Networks for Content Caching and Energy Saving.
Proceedings of the IEEE International Conference on Communications, 2023

Adversarial Learning for Implicit Semantic-Aware Communications.
Proceedings of the IEEE International Conference on Communications, 2023

Joint Partner Pairing and Resource Scheduling for D2D-U-Based Decentralized Mutual Learning.
Proceedings of the IEEE Global Communications Conference, 2023

RIS-Aided Multi-Beam Cooperative Transmission for Satellite-Terrestrial Communication.
Proceedings of the IEEE Global Communications Conference, 2023

Hierarchical Meta-Reinforcement Learning for Resource-Efficient Slicing in O-RAN.
Proceedings of the IEEE Global Communications Conference, 2023

2022
Unlicensed Assisted Ultra-Reliable and Low-Latency Communications.
Mob. Networks Appl., December, 2022

Editorial: Intelligent Mobility and Edge Computing for a Smarter World.
Mob. Networks Appl., December, 2022

Joint User Association and Resource Allocation for Wireless Hierarchical Federated Learning With IID and Non-IID Data.
IEEE Trans. Wirel. Commun., 2022

Information Freshness-Aware Task Offloading in Air-Ground Integrated Edge Computing Systems.
IEEE J. Sel. Areas Commun., 2022

Energy-Efficient Resource Allocation for Mobile Edge Computing With Multiple Relays.
IEEE Internet Things J., 2022

MSTN: A Multi-granular Spatial-Temporal Network for video-based person re-identification.
Internet Things, 2022

Semantics-Empowered Communication: A Tutorial-cum-Survey.
CoRR, 2022

Age of Semantics in Cooperative Communications: To Expedite Simulation Towards Real via Offline Reinforcement Learning.
CoRR, 2022

Joint User Association and Resource Allocation for Wireless Hierarchical Federated Learning with Non-IID Data.
Proceedings of the IEEE International Conference on Communications, 2022

Trans-RL: A Prediction-Control Approach for QoE-Aware Point Cloud Video Streaming.
Proceedings of the IEEE Global Communications Conference, 2022

Storage-aware Joint User Scheduling and Spectrum Allocation for Federated Learning.
Proceedings of the IEEE Global Communications Conference, 2022

Energy-Efficient User Association and Resource Allocation for Decentralized Mutual Learning.
Proceedings of the IEEE Global Communications Conference, 2022

2021
Guest Editorial: Aerial Computing: Drones for Multi-Access Edge Computing.
IEEE Wirel. Commun., 2021

Computation Offloading in Beyond 5G Networks: A Distributed Learning Framework and Applications.
IEEE Wirel. Commun., 2021

DRLE: Decentralized Reinforcement Learning at the Edge for Traffic Light Control in the IoV.
IEEE Trans. Intell. Transp. Syst., 2021

Delay-Aware and Energy-Efficient Computation Offloading in Mobile-Edge Computing Using Deep Reinforcement Learning.
IEEE Trans. Cogn. Commun. Netw., 2021

Multi-Channel Blockchain Scheme for Internet of Vehicles.
IEEE Open J. Comput. Soc., 2021

A Routing Protocol for UAV-Assisted Vehicular Delay Tolerant Networks.
IEEE Open J. Comput. Soc., 2021

Point Cloud Video Streaming: Challenges and Solutions.
IEEE Netw., 2021

Distributed Spectrum and Power Allocation for D2D-U Networks: a Scheme Based on NN and Federated Learning.
Mob. Networks Appl., 2021

Editorial: Recent Advances on Intelligent Mobility and Edge Computing.
Mob. Networks Appl., 2021

Decentralized Radio Resource Adaptation in D2D-U Networks.
IEEE Internet Things J., 2021

A Lightweight Deep Learning Algorithm for WiFi-Based Identity Recognition.
IEEE Internet Things J., 2021

Learning-Based WiFi Traffic Load Estimation in NR-U Systems.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2021

Time-Critical Tasks Implementation in MEC based Multi-Robot Cooperation Systems.
CoRR, 2021

Reinforcement Learning-powered Semantic Communication via Semantic Similarity.
CoRR, 2021

Wireless Access Control in Edge-Aided Disaster Response: A Deep Reinforcement Learning-Based Approach.
IEEE Access, 2021

Distributed Resource Allocation for Maximizing Energy Efficiency in D2D-U Enabled NR Network.
Proceedings of the 94th IEEE Vehicular Technology Conference, 2021

A Deep Reinforcement Learning Approach for Point Cloud Video Transmissions.
Proceedings of the 94th IEEE Vehicular Technology Conference, 2021

Unlicensed Assisted Ultra-Reliable and Low-Latency Transmission.
Proceedings of the Mobile Networks and Management - 11th EAI International Conference, 2021

Enhancing Detection of SSVEPs through Spatial Filtering: An Inter-Trial Distance Minimization Perspective.
Proceedings of the International Conference on Information and Communication Technologies for Disaster Management, 2021

Resource Management in MEC based Muti-Robot Cooperation Systems.
Proceedings of the International Conference on Information and Communication Technologies for Disaster Management, 2021

Effect-Centric Networking.
Proceedings of the 41st IEEE International Conference on Distributed Computing Systems Workshops, 2021

Multi-Beam Power Allocation in Dynamic Massive MIMO Cloud Radio Access Networks.
Proceedings of the ICC 2021, 2021

Performance Optimization in Heterogeneous WiFi and Cellular Mobile Edge Computing Systems.
Proceedings of the IEEE Global Communications Conference, 2021

Distributed Resource Management for Licensed and Unlicensed Integrated Mobile Edge Computing.
Proceedings of the IEEE Global Communications Conference, 2021

2020
A VDTN scheme with enhanced buffer management.
Wirel. Networks, 2020

Age of Information Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective.
IEEE Trans. Wirel. Commun., 2020

Edge-Facilitated Augmented Vision in Vehicle-to-Everything Networks.
IEEE Trans. Veh. Technol., 2020

Fuzzy Logic-Based Adaptive Point Cloud Video Streaming.
IEEE Open J. Comput. Soc., 2020

GAN-Powered Deep Distributional Reinforcement Learning for Resource Management in Network Slicing.
IEEE J. Sel. Areas Commun., 2020

DRLE: Decentralized Reinforcement Learning at the Edge for Traffic Light Control.
CoRR, 2020

Edge-Based V2X Communications With Big Data Intelligence.
IEEE Access, 2020

Resource Awareness In Unmanned Aerial Vehicle-Assisted Mobile-Edge Computing Systems.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

A Novel SSVEP-Based Brain-Computer Interface Using Joint Frequency and Space Modulation.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

An Oblivious Game-Theoretic Perspective of RRM in Vehicular Communications.
Proceedings of the 9th IEEE/CIC International Conference on Communications in China, 2020

DeepMigration: Flow Migration for NFV with Graph-based Deep Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Deep Reinforcement Learning based Access Control for Disaster Response Networks.
Proceedings of the IEEE Global Communications Conference, 2020

Age of Information-Aware Resource Management in UAV-Assisted Mobile-Edge Computing Systems.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Learning to Entangle Radio Resources in Vehicular Communications: An Oblivious Game-Theoretic Perspective.
IEEE Trans. Veh. Technol., 2019

Wireless Edge Computing With Latency and Reliability Guarantees.
Proc. IEEE, 2019

Integrating Licensed and Unlicensed Spectrum in the Internet of Vehicles with Mobile Edge Computing.
IEEE Netw., 2019

Multi-Tenant Cross-Slice Resource Orchestration: A Deep Reinforcement Learning Approach.
IEEE J. Sel. Areas Commun., 2019

Optimized Computation Offloading Performance in Virtual Edge Computing Systems Via Deep Reinforcement Learning.
IEEE Internet Things J., 2019

Deep Learning with Long Short-Term Memory for Time Series Prediction.
IEEE Commun. Mag., 2019

Near-Optimal Data Structure for Approximate Range Emptiness Problem in Information-Centric Internet of Things.
IEEE Access, 2019

Decentralized Trust Evaluation in Vehicular Internet of Things.
IEEE Access, 2019

Deep Reinforcement Learning for D2D transmission in unlicensed bands.
Proceedings of the 2019 IEEE/CIC International Conference on Communications in China, 2019

Decentralized Deep Reinforcement Learning for Delay-Power Tradeoff in Vehicular Communications.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

GAN-Based Deep Distributional Reinforcement Learning for Resource Management in Network Slicing.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Secrecy Preserving in Stochastic Resource Orchestration for Multi-Tenancy Network Slicing.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Age of Information-Aware Multi-tenant Resource Orchestration in Network Slicing.
Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

2018
HSDRAN: Hierarchical Software-Defined Radio Access Network for Distributed Optimization.
IEEE Trans. Veh. Technol., 2018

Wireless Resource Scheduling in Virtualized Radio Access Networks Using Stochastic Learning.
IEEE Trans. Mob. Comput., 2018

A Context-Aware Edge-Based VANET Communication Scheme for ITS.
Sensors, 2018

Deep Reinforcement Learning for Network Slicing.
CoRR, 2018

Cluster-Based Content Distribution Integrating LTE and IEEE 802.11p with Fuzzy Logic and Q-Learning.
IEEE Comput. Intell. Mag., 2018

Deep Reinforcement Learning for Resource Management in Network Slicing.
IEEE Access, 2018

Vehicular Multi-Access Edge Computing With Licensed Sub-6 GHz, IEEE 802.11p and mmWave.
IEEE Access, 2018

Massive MIMO Power Allocation in Millimeter Wave Networks.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2018

Traffic Prediction Based on Random Connectivity in Deep Learning with Long Short-Term Memory.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

Performance Optimization in Mobile-Edge Computing via Deep Reinforcement Learning.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

Multipath Transmission Scheduling in Millimeter Wave Cloud Radio Access Networks.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Learning to Schedule Resources in Software-Defined Radio Access Networks.
Proceedings of the IEEE Globecom Workshops, 2018

2017
Multihop Data Delivery Virtualization for Green Decentralized IoT.
Wirel. Commun. Mob. Comput., 2017

Database-Assisted Spectrum Sharing in Satellite Communications: A Survey.
IEEE Access, 2017

A Unified Performance Optimization for Secrecy Wireless Information and Power Transfer Over Interference Channels.
IEEE Access, 2017

Adapting Downlink Power in Fronthaul-Constrained Hierarchical Software-Defined RANs.
Proceedings of the 2017 IEEE Wireless Communications and Networking Conference, 2017

Delay-tolerant resource scheduling in large-scale virtualized radio access networks.
Proceedings of the IEEE International Conference on Communications, 2017

An Oblivious Game-Theoretic Approach for Wireless Scheduling in V2V Communications.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016
A Network Graph Approach for Network Energy Saving in Small Cell Networks.
Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016

A double auction mechanism for virtual resource allocation in SDN-based cellular network.
Proceedings of the 27th IEEE Annual International Symposium on Personal, 2016

On the dependence between base stations deployment and traffic spatial distribution in cellular networks.
Proceedings of the 23rd International Conference on Telecommunications, 2016

Enhancing software-defined RAN with collaborative caching and scalable video coding.
Proceedings of the 2016 IEEE International Conference on Communications, 2016

Context-aware data caching for 5G heterogeneous small cells networks.
Proceedings of the 2016 IEEE International Conference on Communications, 2016

A Zero-Determinant Approach for Power Control of Multiple Wireless Operators in LTE Unlicensed.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

2015
Optimal Base Station Sleeping in Green Cellular Networks: A Distributed Cooperative Framework Based on Game Theory.
IEEE Trans. Wirel. Commun., 2015

Efficient Broadcasting in VANETs Using Dynamic Backbone and Network Coding.
IEEE Trans. Wirel. Commun., 2015

Editorial for Special Issue on Industrial Networks and Intelligent Systems.
Mob. Networks Appl., 2015

Energy-Efficiency Oriented Traffic Offloading in Wireless Networks: A Brief Survey and a Learning Approach for Heterogeneous Cellular Networks.
IEEE J. Sel. Areas Commun., 2015

Reciprocally opportunistic spectrum access.
Trans. Emerg. Telecommun. Technol., 2015

Spectrum Occupancy Measurements in the 2.3-2.4 GHz band: Guidelines for Licensed Shared Access in Finland.
EAI Endorsed Trans. Cogn. Commun., 2015

Software defined mobile networks: concept, survey, and research directions.
IEEE Commun. Mag., 2015

Large-Scale Spatial Distribution Identification of Base Stations in Cellular Networks.
IEEE Access, 2015

Packet Size-Aware Broadcasting in VANETs With Fuzzy Logic and RL-Based Parameter Adaptation.
IEEE Access, 2015

Secure beamforming for cognitive radio networks with artificial noise.
Proceedings of the International Conference on Wireless Communications & Signal Processing, 2015

A distributed ADMM approach for mobile data offloading in software defined network.
Proceedings of the 2015 IEEE Wireless Communications and Networking Conference, 2015

An Intelligent Broadcast Protocol for VANETs Based on Transfer Learning.
Proceedings of the IEEE 81st Vehicular Technology Conference, 2015

A learning approach for traffic offloading in stochastic heterogeneous cellular networks.
Proceedings of the 2015 IEEE International Conference on Communications, 2015

Foresighted resource scheduling in software-defined radio access networks.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

2014
Predicting Spectrum Occupancies Using a Non-Stationary Hidden Markov Model.
IEEE Wirel. Commun. Lett., 2014

SoftMobile: control evolution for future heterogeneous mobile networks.
IEEE Wirel. Commun., 2014

TACT: A Transfer Actor-Critic Learning Framework for Energy Saving in Cellular Radio Access Networks.
IEEE Trans. Wirel. Commun., 2014

Large-scale Spatial Distribution Identification of Base Stations in Cellular Networks.
CoRR, 2014

A game-theoretic approach for optimal base station sleeping in green cellular networks.
Proceedings of the Sixth International Conference on Wireless Communications and Signal Processing, 2014

Measurements and analysis of spectrum occupancy in the 2.3-2.4 GHz band in Finland and Chicago.
Proceedings of the 9th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, 2014

Greenly offloading traffic in stochastic heterogeneous cellular networks.
Proceedings of the 1st International Workshop on Cognitive Cellular Systems, 2014

2013
Energy-Efficient Optimization for Wireless Information and Power Transfer in Large-Scale MIMO Systems Employing Energy Beamforming.
IEEE Wirel. Commun. Lett., 2013

Stochastic Power Adaptation with Multiagent Reinforcement Learning for Cognitive Wireless Mesh Networks.
IEEE Trans. Mob. Comput., 2013

On Improving Energy Efficiency within Green Femtocell Networks: A Hierarchical Reinforcement Learning Approach
CoRR, 2013

Reciprocal learning for cognitive medium access.
Proceedings of the 2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013

Combined learning for energy efficiency in heterogeneous cellular networks.
Proceedings of the IEEE 24th International Symposium on Personal, 2013

Combined learning for resource allocation in autonomous heterogeneous cellular networks.
Proceedings of the 24th IEEE Annual International Symposium on Personal, 2013

Improving energy efficiency in Green femtocell networks: A hierarchical reinforcement learning framework.
Proceedings of IEEE International Conference on Communications, 2013

Reciprocity inspired learning for opportunistic spectrum access in cognitive radio networks.
Proceedings of the 8th International Conference on Cognitive Radio Oriented Wireless Networks, 2013

2012
Improving Energy Efficiency in Femtocell Networks: A Hierarchical Reinforcement Learning Framework
CoRR, 2012

Conjectural variations in multi-agent reinforcement learning for energy-efficient cognitive wireless mesh networks.
Proceedings of the 2012 IEEE Wireless Communications and Networking Conference, 2012

Energy saving through a learning framework in greener cellular radio access networks.
Proceedings of the 2012 IEEE Global Communications Conference, 2012

2011
Reinforcement Learning Enhanced Iterative Power Allocation in Stochastic Cognitive Wireless Mesh Networks.
Wirel. Pers. Commun., 2011

Power Allocation for Cognitive Wireless Mesh Networks by Applying Multi-agent Q-learning Approach
CoRR, 2011

Collaborative spectrum sharing based on information pooling for cognitive radio networks with channel heterogeneity.
Proceedings of the 11th International Symposium on Communications and Information Technologies, 2011

Exploration vs exploitation for distributed channel access in cognitive radio networks: A multi-user case study.
Proceedings of the 11th International Symposium on Communications and Information Technologies, 2011

2009
Intercluster Connection in Cognitive Wireless Mesh Networks Based on Intelligent Network Coding.
EURASIP J. Adv. Signal Process., 2009

Inter-cluster connection in cognitive wireless mesh networks based on intelligent network coding.
Proceedings of the IEEE 20th International Symposium on Personal, 2009

Dynamic TSP Optimization Base on Elastic Adjustment.
Proceedings of the Fifth International Conference on Natural Computation, 2009

Elastic Adjusting Method and its Application to Solve Static TSP.
Proceedings of the Fifth International Conference on Natural Computation, 2009


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