Intelligent and Software Defined Wireless Networking
Full-Stack Realtime Programmable Data Plane
AI-oriented Control plane via Wireless Network Operating System (WiNOS)
AI-enabled Autonomous System Control and Optimization
Plug-and-Play Network Apps
Rapid Wireless Innovations
Reimagining Wireless Network
With enhanced support for:
Ultra highspeed
Scalable
Low Cost
Secured
Robust
Self Healing
Our Team
Principal Investigators
Dr. Pu Wang
Assistant Professor
Department of Computer Science
UNC - Charlotte
Dr. Ian F. Akyildiz
Ken Byers Chair Professor in Telecommunications
School of Electrical and Computer Engineering
Georgia Institute of Technology
Members
Prabhu Janakaraj
Pursuing PhD in Computer Science, UNCC
Lead - Systems Architect
Pinyarash Pinyoanuntapong
Pursuing PhD in Computer Science, UNCC
Lead - Developer
Ahan Kak
Pursuing PhD in Electrical Engineering, GATECH
Lead - Developer
Our Projects
AI-oriented Control plane via Wireless Network Operating System
Programmable Packet Processing
S-INT In-Band Telemetry
Multi-Agent Reinforcement Learning for Routing
Testbed
SD-Router Version 1
TP-Link TL-WDR4300 / OpenWRT
SD-Router Version 2
Nvidia Jetson and Gateworks 5400 - Multi Radio Wireless Router
Floor Plan
Topology
See it in Action
Traffic Engineering
Traffic Balancing - Single Flow
Traffic Balancing - Multi Flow
Sub Ghz - Communication
Wireless Virtualization
Wireless Control Module
Publications
- P. Janakaraj, P. Pinyoanuntapong, P. Wang and M. Lee, "Towards In-Band Telemetry for Self Driving Wireless Networks," IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Toronto, ON, Canada, 2020, pp. 766-773, doi: 10.1109/INFOCOMWKSHPS50562.2020.9162923.
P. Pinyoanuntapong, P. Janakaraj, P. Wang, M. Lee and C. Chen, "FedAir: Towards Multi-hop Federated Learning Over-the-Air," 2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Atlanta, GA, USA, 2020, pp. 1-5, doi: 10.1109/SPAWC48557.2020.9154266.
P. Pinyoanuntapong, M. Lee and P. Wang, "Distributed Multi-Hop Traffic Engineering via Stochastic Policy Gradient Reinforcement Learning," 2019 IEEE Global Communications Conference (GLOBECOM), Waikoloa, HI, USA, 2019, pp. 1-6, doi: 10.1109/GLOBECOM38437.2019.9013134.
P. Pinyoanuntapong, M. Lee and P. Wang, "Delay-Optimal Traffic Engineering through Multi-agent Reinforcement Learning," IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Paris, France, 2019, pp. 435-442, doi: 10.1109/INFCOMW.2019.8845154.