Work

Demo : Synthetic Data for Data-Driven Wireless

Year: 2024

Type: conference-paper

Abstract: The fundamental bottleneck in adapting data-driven wireless solutions to real world is the lack of tools for augmenting good quality data which is environment-specific. Indeed, much of the data required for popular data-driven wireless communication and sensing systems requires domain expertise beyond the reach of an average consumer. This demo presents a radical new vision for generating synthetic data in consumer-specific environments by leveraging the power of modern compute.

Source: Proceedings of the 28th Annual International Conference on Mobile Computing And Networking

DOI: 10.1145/3636534.3701545

Authors: Qiancheng Li, Xinghua Sun, Akshay Gadre

Institution: University of Washington

Language: English

Topic: Cognitive Radio Networks and Spectrum Sensing

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4405014265

FWCI: 0.443

Cites: 10

Cited by: 1

Related to: 10