Xianfu Chen

According to our database1, Xianfu Chen authored at least 88 papers between 2009 and 2020.

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Bibliography

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

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

Information Freshness-Aware Task Offloading in Air-Ground Integrated Edge Computing Systems.
CoRR, 2020

Computation Offloading in Beyond 5G Networks: A Distributed Learning Framework and Applications.
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

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

Optimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning.
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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