Rongpeng Li

According to our database1, Rongpeng Li authored at least 114 papers between 2012 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2022
Semantic Communication With Adaptive Universal Transformer.
IEEE Wirel. Commun. Lett., 2022

Stigmergic Independent Reinforcement Learning for Multiagent Collaboration.
IEEE Trans. Neural Networks Learn. Syst., 2022

RAN Information-Assisted TCP Congestion Control Using Deep Reinforcement Learning With Reward Redistribution.
IEEE Trans. Commun., 2022

Adaptive Bit Rate Control in Semantic Communication With Incremental Knowledge-Based HARQ.
IEEE Open J. Commun. Soc., 2022

Trustable Policy Collaboration Scheme for Multi-Agent Stigmergic Reinforcement Learning.
IEEE Commun. Lett., 2022

AoI-based Temporal Attention Graph Neural Network for Popularity Prediction and Content Caching.
CoRR, 2022

AoI-based Temporal Attention Graph Neural Network for Popularity Prediction in ICN.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Demo: Deep Reinforcement Learning for Resource Management in Cellular Network Slicing.
Proceedings of the IEEE INFOCOM 2022, 2022

Communication-Efficient Consensus Mechanism for Federated Reinforcement Learning.
Proceedings of the IEEE International Conference on Communications, 2022

Contrastive Monotonic Pixel-Level Modulation.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Graph Attention Network-Based Multi-Agent Reinforcement Learning for Slicing Resource Management in Dense Cellular Network.
IEEE Trans. Veh. Technol., 2021

On the Capacity of Fractal D2D Social Networks with Hierarchical Communications.
IEEE Trans. Mob. Comput., 2021

Channel Estimation Based on Deep Learning in Vehicle-to-Everything Environments.
IEEE Commun. Lett., 2021

Statistical QoS guarantees of a device-to-device link assisted by a full-duplex relay.
Trans. Emerg. Telecommun. Technol., 2021

An efficient pruning scheme of deep neural networks for Internet of Things applications.
EURASIP J. Adv. Signal Process., 2021

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

Fundamental Limits of Reinforcement Learning in Environment with Endogeneous and Exogeneous Uncertainty.
CoRR, 2021

The Gradient Convergence Bound of Federated Multi-Agent Reinforcement Learning with Efficient Communication.
CoRR, 2021

Toward Native Artificial Intelligence in 6G Networks: System Design, Architectures, and Paradigms.
CoRR, 2021

Graph Attention Network-based DRL for Network Slicing Management in Dense Cellular Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

RAN Information-assisted TCP Congestion Control via DRL with Reward Redistribution.
Proceedings of the IEEE International Conference on Communications Workshops, 2021

Network AI Management & Orchestration: A Federated Multi-task Learning Case.
Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021

2020
The Collective Advantage for Advancing Communications and Intelligence.
IEEE Wirel. Commun., 2020

Effect of Spatial and Temporal Traffic Statistics on the Performance of Wireless Networks.
IEEE Trans. Commun., 2020

Study on Base Station Topology in National Cellular Networks: Take Advantage of Alpha Shapes, Betti Numbers, and Euler Characteristics.
IEEE Syst. J., 2020

Target detection for multi-UAVs via digital pheromones and navigation algorithm in unknown environments.
Frontiers Inf. Technol. Electron. Eng., 2020

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

The LSTM-Based Advantage Actor-Critic Learning for Resource Management in Network Slicing With User Mobility.
IEEE Commun. Lett., 2020

Intelligent Slicing of Radio Resource Control Layer for Cellular IoT: Design and Implementation.
CoRR, 2020

Evaluation Mechanism of Collective Intelligence for Heterogeneous Agents Group.
IEEE Access, 2020

Evolving Deep Convolutional Neural Network for Intrusion Detection Based on NEAT.
Proceedings of the 23rd International Symposium on Wireless Personal Multimedia Communications, 2020

Graph Convolutional Multi-Agent Reinforcement Learning for UAV Coverage Control.
Proceedings of the 2020 International Conference on Wireless Communications and Signal Processing (WCSP), 2020

The Implementation of Asynchronous Advantage Actor-Critic with Stigmergy in Network-assisted Multi-agent System.
Proceedings of the 2020 International Conference on Wireless Communications and Signal Processing (WCSP), 2020

The implementation of stigmergy in network-assisted multi-agent system.
Proceedings of the MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking, 2020

Learning to Prune in Training via Dynamic Channel Propagation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Efficient Deep Structure Learning for Resource-Limited IoT Devices.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Fundamentals on Base Stations in Urban Cellular Networks: From the Perspective of Algebraic Topology.
IEEE Wirel. Commun. Lett., 2019

The Stochastic Geometry Analyses of Cellular Networks With $\alpha$ -Stable Self-Similarity.
IEEE Trans. Commun., 2019

AI-Based Two-Stage Intrusion Detection for Software Defined IoT Networks.
IEEE Internet Things J., 2019

Multicast scheduling for delay-energy trade-off under bursty request arrivals in cellular networks.
IET Commun., 2019

Deep Reinforcement Learning With Discrete Normalized Advantage Functions for Resource Management in Network Slicing.
IEEE Commun. Lett., 2019

Stigmergic Independent Reinforcement Learning for Multi-Agent Collaboration.
CoRR, 2019

The Collective Intelligence for Advancing 6G Communications.
CoRR, 2019

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

Brain-Inspired Stigmergy Learning.
IEEE Access, 2019

Exploring Trajectory Prediction Through Machine Learning Methods.
IEEE Access, 2019

Demo: The Design and Implementation of Intelligent Software Defined Security Framework.
Proceedings of the 25th Annual International Conference on Mobile Computing and Networking, 2019

Statistics-Enhanced Destination Prediction Model for Multi-Users Based on Deep Learning.
Proceedings of the 19th IEEE International Conference on Communication Technology, 2019

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

A testbed for intelligent software defined security framework.
Proceedings of the ACM Turing Celebration Conference - China, 2019

2018
Machine learning-based IDS for software-defined 5G network.
IET Networks, 2018

Wireless big data in cellular networks: the cornerstone of smart cities.
IET Commun., 2018

Brain-Inspired Stigmergy Learning.
CoRR, 2018

Fundamentals on Base Stations in Cellular Networks: From the Perspective of Algebraic Topology.
CoRR, 2018

Study on Base Station Topology in Cellular Networks: Take Advantage of Alpha Shapes, Betti Numbers, and Euler Characteristics.
CoRR, 2018

Deep Reinforcement Learning for Network Slicing.
CoRR, 2018

Effect of Spatial and Temporal Traffic Statistics on the Performance of Wireless Networks.
CoRR, 2018

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

Robust Relative Fingerprinting-Based Passive Source Localization via Data Cleansing.
IEEE Access, 2018

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

On the Capacity of D2D Social Networks With Fractal Communications.
Proceedings of the 25th International Conference on Telecommunications, 2018

2017
Intelligent 5G: When Cellular Networks Meet Artificial Intelligence.
IEEE Wirel. Commun., 2017

Results on Energy- and Spectral-Efficiency Tradeoff in Cellular Networks With Full-Duplex Enabled Base Stations.
IEEE Trans. Wirel. Commun., 2017

The Learning and Prediction of Application-Level Traffic Data in Cellular Networks.
IEEE Trans. Wirel. Commun., 2017

Full-Duplex Delay Diversity Relay Transmission Using Bit-Interleaved Coded OFDM.
IEEE Trans. Commun., 2017

Temporal-spatial distribution nature of traffic and base stations in cellular networks.
IET Commun., 2017

Cooperation-Based Probabilistic Caching Strategy in Clustered Cellular Networks.
IEEE Commun. Lett., 2017

The Stochastic Geometry Analyses of Cellular Networks with α-Stable Self-Similarity.
CoRR, 2017

On the Capacity of Wireless Networks with Fractal and Hierarchical Social Communications.
CoRR, 2017

A Machine Learning Based Intrusion Detection System for Software Defined 5G Network.
CoRR, 2017

On the Capacity of Fractal Wireless Networks With Direct Social Interactions.
CoRR, 2017

Full-Duplex Cellular Networks.
IEEE Commun. Mag., 2017

SDN Based VxLAN Optimization in Cloud Computing Networks.
IEEE Access, 2017

The Emergence of Scaling Law, Fractal Patterns and Small-World in Wireless Networks.
IEEE Access, 2017

Predictability Analysis of Spectrum State Evolution: Performance Bounds and Real-World Data Analytics.
IEEE Access, 2017

A resource scheduling scheme based on utility function in CoMP environment.
Proceedings of the 9th International Conference on Wireless Communications and Signal Processing, 2017

Joint computation offloading and data caching with delay optimization in mobile-edge computing systems.
Proceedings of the 9th International Conference on Wireless Communications and Signal Processing, 2017

An intelligent honeynet architecture based on software defined security.
Proceedings of the 9th International Conference on Wireless Communications and Signal Processing, 2017

On the Emerging of Scaling Law, Fractality and Small-World in Cellular Networks.
Proceedings of the 85th IEEE Vehicular Technology Conference, 2017

A Tomography of Full-Duplex Cellular Networks.
Proceedings of the 85th IEEE Vehicular Technology Conference, 2017

Global Energy Management for Propulsion, Thermal Management System of A Series-parallel Hybrid Electric Vehicle .
Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems, 2017

A revisiting to queueing theory for mobile instant messaging with keep-alive mechanism in cellular networks.
Proceedings of the IEEE International Conference on Communications, 2017

2016
Not Call Me Cellular Any More: The Emergence of Scaling Law, Fractal Patterns and Small-World in Wireless Networks.
CoRR, 2016

The Learning and Prediction of Application-level Traffic Data in Cellular Networks.
CoRR, 2016

Full-Duplex Cellular Networks: It Works!
CoRR, 2016

Network slicing as a service: enabling enterprises' own software-defined cellular networks.
IEEE Commun. Mag., 2016

Characterizing and Modeling Social Mobile Data Traffic in Cellular Networks.
Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016

Binary power control for full-duplex networks.
Proceedings of the 27th IEEE Annual International Symposium on Personal, 2016

Energy- and Spectral- Efficiency Tradeoff in Full-Duplex Communications.
Proceedings of the 2016 IEEE Globecom Workshops, Washington, DC, USA, December 4-8, 2016, 2016

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

On the α-Stable Distribution of Base Stations in Cellular Networks.
IEEE Commun. Lett., 2015

On the limits of predictability in real-world radio spectrum state dynamics: from entropy theory to 5G spectrum sharing.
IEEE Commun. Mag., 2015

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

Understanding the Traffic Nature of Mobile Instantaneous Messaging in Cellular Networks: A Revisiting to α-Stable Models.
IEEE Access, 2015

Energy Efficiency Analysis of Heterogeneous Cellular Networks with Downlink and Uplink Decoupling.
Proceedings of the 2015 IEEE Global Communications Conference, 2015

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

Toward 5G: when explosive bursts meet soft cloud.
IEEE Netw., 2014

Adaptive multi-task compressive sensing for localisation in wireless local area networks.
IET Commun., 2014

Understanding the Nature of Social Mobile Instant Messaging in Cellular Networks.
IEEE Commun. Lett., 2014

Energy savings scheme in radio access networks via compressive sensing-based traffic load prediction.
Trans. Emerg. Telecommun. Technol., 2014

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

Modeling Spatial Distributions of Base Stations in Cellular Networks.
CoRR, 2014

The prediction analysis of cellular radio access network traffic: From entropy theory to networking practice.
IEEE Commun. Mag., 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

Two-tier spatial modeling of base stations in cellular networks.
Proceedings of the 25th IEEE Annual International Symposium on Personal, 2014

Service-oriented cross-layer management for software-defined cellular networks.
Proceedings of the 25th IEEE Annual International Symposium on Personal, 2014

Characterizing spatial patterns of base stations in cellular networks.
Proceedings of the 2014 IEEE/CIC International Conference on Communications in China, 2014

An approximate algorithm of controller configuration in multi-domain SDN architecture.
Proceedings of the 9th International Conference on Communications and Networking in China, 2014

2013
Human Mobility Patterns in Cellular Networks.
IEEE Commun. Lett., 2013

Downlink interference minimization in cooperative cognitive LTE-femtocell networks.
EURASIP J. Wirel. Commun. Netw., 2013

Compressive sensing based overhead reduction scheme in multi-antenna downlink management.
Proceedings of the International Conference on Wireless Communications and Signal Processing, 2013

2012
The predictability of cellular networks traffic.
Proceedings of the International Symposium on Communications and Information Technologies, 2012

GM-PAB: A grid-based energy saving scheme with predicted traffic load guidance for cellular networks.
Proceedings of IEEE International Conference on Communications, 2012

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


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