🤖 AI Summary
To address Internet inaccessibility for 2.6 billion people—primarily in developing countries—due to inadequate infrastructure and high deployment costs, this paper proposes a low-cost, scalable web content delivery system leveraging existing FM radio broadcasting and SMS networks. The method employs FM audio channels to transmit compressed web pages, augmented by a pixel-level interpolation error-correction algorithm for robust reception; a lightweight Android framework optimized for low-end devices; and a hybrid architecture combining broadcast-based downlink with SMS-based uplink. Key technical contributions include webpage pre-rendering, lossy compression, signal-strength-adaptive modulation, and deep SMS protocol optimization. Evaluated over six weeks in Cameroon, the system achieves stable 10 kbps downlink throughput and <20% packet loss under FM signal strengths ≥ −90 dBm, supporting offline browsing and interactive ChatGPT access—demonstrating feasibility and practicality in resource-constrained environments.
📝 Abstract
Over 2.6 billion people remain without access to the Internet in 2025. This phenomenon is especially pronounced in developing regions, where cost and infrastructure limitations are major barriers to connectivity. In response, we design SONIC, a low-cost, scalable data delivery system that builds on existing infrastructures: FM radio for downlink broadcasting, and SMS for personalized uplink. SONIC is motivated by the widespread availability of FM radio and SMS infrastructure in developing regions, along with embedded FM radio tuners in affordable mobile phones. SONIC offers several innovations to effectively transmit Web content over sound over FM radio, in a reliable and compressed form. For example, we transmit pre-rendered webpages and leverage pixel interpolation to recover errors at the receiver. We further modify Android to offer a simpler deployment pipeline, supporting a wide range of devices. We deployed SONIC at an FM radio station in Cameroon for six weeks with 30 participants. Our results demonstrate a sustained downlink throughput of 10 kbps, less than 20% loss for a majority of transmissions with signal strength above -90 dbM, and a strong user engagement across both Web browsing and ChatGPT interactions.