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Projects
Improving Rural Broadband
We are creating a framework to overcome challenges in rural wireless networks and enable data-intensive communications for America’s rural areas.
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Creating a foundational data acceleration component for rural broadband solutions
Broadband is central to our economy and daily life, but rural areas face challenges in achieving reliable connectivity through wireless networks. This project, titled “Liquid Wireless Networking for Data-Intensive Rural Apps,” is creating a new framework to support real-time data-intensive rural applications in the presence of complex, fast-varying network dynamics and uncertainties. The framework, called Real-Time Liquid Wireless Networking (RT-LWN), is expected to become a foundational component for rural broadband solutions.
The Problem
Data-intensive applications such as agriculture automation and immersive online education are expected to have a transformative impact on rural industries and communities. However, rural wireless is subject to environmental factors such as weather, terrain, foliage, and crop types and densities, and spatiotemporal uncertainties also pose challenges for rural wireless links.
How We’re Addressing It
The RT-LWN framework overcomes these issues by integrating fountain-encoded liquid data with the design of predictable wireless networking. This novel wireless network architecture features:
- Novel, effective integration of the liquid transport layer into endpoints,
- Functional decomposition across the liquid transport layer and lower layers based on the end-to-end principle, and
- Field-deployable, holistic designs for addressing complex, fast-varying wireless dynamics and uncertainties.
RT-LWN encodes application data using fountain codes and then delivers data across rRANs and rHauls with per-packet probabilistic real-time guarantees. The liquidity of fountain-encoded data, together with a field-deployable approach to predictable per packet probabilistic real-time communication guarantee across wireless access and backhaul, enables efficient, real-time delivery of each source block while fully leveraging the aggregate capacity of heterogeneous wireless networks in the presence of fast-varying dynamics and uncertainties.
With predictable control of communication reliability, timeliness, and throughput at the link, network, and liquid transport layers, RT-LWN enables “predictability by design” and tackles the resiliency and performance challenges of rural wireless at the same time.
Project Team
ICSI Research Team
External Collaborators
Elisabeth Kusuma Adi Permatasari
Iowa State University
Evan Gossling
Iowa State University
Md Nadim
Iowa State University
Lorenz Minder
BitRipple Inc
Pooja Aggrawal
BitRipple Inc
Outcomes
Publications
- Zhibo Meng, Hongwei Zhang. Joint Scheduling and Power Control for Predictable Per-Packet Reliability in URLLC. IEEE International Conference on Network Protocols (ICNP), 2024.
- Zhibo Meng, Hongwei Zhang, James Gross. Scheduling with Probabilistic Per-Packet Real-Time Guarantee for Industrial URLLC. IEEE International Conference on Industrial Cyber-Physical Systems (ICPS), 2024. (Best Student Paper Award)
- E. K. A. Permatasari, E. Gosling, M. Nadim, S. Babu, D. Qiao, H. Zhang, M. Luby, J. W. Byers, L. Minder, P. Aggrawal. Real-Time Liquid Wireless Transport for Video Streaming in Rural and Agricultural Applications. ACM Mile High Video (MHV), 2024.
- Taimoor Ul Islam, Tianyi Zhang, Joshua Ofori Boateng, Evan Gossling, Guoying Zu, Sarath Babu, Hongwei Zhang, Daji Qiao. AraMIMO: Programmable TVWS mMIMO Living Lab for Rural Wireless. ACM Workshop on Wireless Network Testbeds, Experimental evaluation and CHaracterization (WiNTECH), 2023. (Best Paper Award)
- Tianyi Zhang, Guoying Zu, Taimoor Ul Islam, Evan Gossling, Sarath Babu, Daji Qiao, Hongwei Zhang. Exploring Wireless Channels in Rural Areas: A Comprehensive Measurement Study. IEEE Future Networks World Forum (FNWF), 2023. (Best Paper Honorable Mention)
- Guoying Zu, Md Nadim, Salil Reddy, Taimoor Ul Islam, Sarath Babu, Tianyi Zhang, Daji Qiao, Hongwei Zhang, Anish Arora. AraHaul: Multi-Modal Wireless X-Haul Living Lab for Long-Distance, High-Capacity Communications. IEEE Future Networks World Forum (FNWF), 2023.
- Zhibo Meng, Hongwei Zhang, James Gross. Scheduling with Probabilistic Per-Packet Real-Time Guarantee for URLLC. ArXiv 2101.01768v7, 2023.
Resources
- Real-Time Liquid Wireless Networking for Data-Intensive Applications demo at Farm Progress Show, August 2024
- Real-Time Liquid Wireless Networking for Data-Intensive Applications demo at ARA Public Launch, September 2023 [video]
About
Focus Areas
- Computer Networks, Internet Protocols, and Web Infrastructure
- Wireless Networks, Mobile Computing, and 6G Technologies
- 5G and Next-Generation Networking Technologies
- Algorithms, Complexity Theory, and Computability
- Information Theory, Coding, and Compression
Get in touch
Want to discuss opportunities to work with ICSI? We’d love to hear from you.
