Lihua Ruan

Orcid: 0000-0002-9892-5823

According to our database1, Lihua Ruan authored at least 35 papers between 2008 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Leveraging RIS to Assist Communication and Against CSI-Based Passive Sensing.
IEEE Wirel. Commun. Lett., June, 2024

A Practical Design of RIS With Subsurfaces Using Codebook-Based Configuration Method.
IEEE Wirel. Commun. Lett., April, 2024

A Hybrid Fiber-Femtocell Indoor Network to Support Low-Latency and High-Bandwidth Indoor Communication Applications.
Proceedings of the International Conference on Computing, Networking and Communications, 2024

Novel Concept Drift Detection and Adaptation (CDDA) Framework for Human-to-Machine (H2M) Applications over Future Communication Networks.
Proceedings of the IEEE International Conference on Communications, 2024

Using RIS to Support/Prevent Passive Sensing: RIS-enabled Passive Sensing Performance and RIS Configuration Study.
Proceedings of the IEEE International Conference on Communications, 2024

2023
A Transfer Learning Assisted Framework to Expedite and Self-Adapt Bandwidth Allocations in Low-Latency H2M Applications.
IEEE Commun. Mag., August, 2023

Machine learning enhanced next-generation optical access networks - challenges and emerging solutions [Invited Tutorial].
JOCN, 2023

Addressing Concept Drift of Dynamic Traffic Environments through Rapid and Self-Adaptive Bandwidth Allocation.
Proceedings of the 32nd International Conference on Computer Communications and Networks, 2023

2022
Intelligent Radio Resource Allocation for Human-Robot Collaboration.
IEEE Open J. Commun. Soc., 2022

Towards 6G: fast and self-adaptive dynamic bandwidth allocation for next-generation mobile fronthaul.
JOCN, 2022

Tutorial: Evolution of Machine Learning in Optical Access Networks.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2022

2021
Achieving Low-Latency Human-to-Machine (H2M) Applications: An Understanding of H2M Traffic for AI-Facilitated Bandwidth Allocation.
IEEE Internet Things J., 2021

Optimal UAV Hitching on Ground Vehicles.
Proceedings of the IEEE Global Communications Conference, 2021

2020
Towards self-adaptive bandwidth allocation for low-latency communications with reinforcement learning.
Opt. Switch. Netw., 2020

Enabling Remote Human-to-Machine Applications With AI-Enhanced Servers Over Access Networks.
IEEE Open J. Commun. Soc., 2020

Enhancing latency performance through intelligent bandwidth allocation decisions: a survey and comparative study of machine learning techniques.
JOCN, 2020

Alleviating the Master-Slave Distance Limitation in H2M Communications through Remote Environment Emulation.
Proceedings of the 2020 International Conference on Optical Network Design and Modeling, 2020

Low-Latency Federated Reinforcement Learning-Based Resource Allocation in Converged Access Networks.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020

Remote Human-to-Machine Distance Emulation through AI-Enhanced Servers for Tactile Internet Applications.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020

2019
Machine Learning-Based Bandwidth Prediction for Low-Latency H2M Applications.
IEEE Internet Things J., 2019

Understanding the Traffic Causality for Low-Latency Human-to-Machine Applications.
IEEE Netw. Lett., 2019

Request-Based Polling Access: Investigation of Novel Wireless LAN MAC Scheme for Low-Latency E-Health Applications.
IEEE Commun. Lett., 2019

Towards Low-Delay Body Area Networks: An Investigation on the Hybrid MAC of SmartBAN and IEEE 802.15.6 Wireless Body Area Network.
Proceedings of the 20th IEEE International Conference on High Performance Switching and Routing, 2019

Machine Intelligence in Supervising Bandwidth Allocation for Low-latency Communications.
Proceedings of the 20th IEEE International Conference on High Performance Switching and Routing, 2019

2018
SmartBAN With Periodic Monitoring Traffic: A Performance Study on Low Delay and High Energy Efficiency.
IEEE J. Biomed. Health Informatics, 2018

SmartBAN Downlink Performance Study: A Novel Transmission Framework for Reducing Delay and Energy Consumption.
IEEE Internet Things J., 2018

Machine intelligence in allocating bandwidth to achieve low-latency performance.
Proceedings of the 2018 International Conference on Optical Network Design and Modeling, 2018

Machine learning based bandwidth prediction in tactile heterogeneous access networks.
Proceedings of the IEEE INFOCOM 2018, 2018

2017
Round-Trip Delay Modeling for Smart Body Area Networks.
IEEE Commun. Lett., 2017

Towards Ubiquitous E-Health: Modeling of SmartBAN Hybrid MAC under Periodic and Emergency Traffic.
Proceedings of the 2017 IEEE Wireless Communications and Networking Conference, 2017

Towards Tactile Internet Capable E-Health: A Delay Performance Study of Downlink-Dominated SmartBANs.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016
Time-optimized MAC for low latency and energy-efficient SmartBANs.
Proceedings of the IEEE Conference on Computer Communications Workshops, 2016

Minimizing latency of periodic monitoring traffic in smart body area networks (SmartBANs).
Proceedings of the 18th International Conference on Transparent Optical Networks, 2016

2014
Simulation System for Airborne Weather Radar Control and Display Based on Virtual Instrument.
J. Softw., 2014

2008
A Research of Trust Based on E-Commerce.
Proceedings of The International Symposium on Electronic Commerce and Security, 2008


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