Solving the Problem of Poor Internet Connectivity in Dhaka: Innovative Solutions Using Advanced WebRTC and Adaptive Streaming Technologies
Abstract
Dhaka, Bangladesh, one of the world's most densely populated cities, faces severe challenges in maintaining reliable, high-speed internet connectivity. This paper presents an innovative framework that addresses poor mobile data connections through the integration of advanced WebRTC technology with adaptive streaming and server-side recording solutions. Focusing on the unique network conditions in Dhaka in 2025, our approach combines dynamic transcoding, real-time error correction, and optimized interface selection to enhance connectivity. We analyze empirical data on connection speeds, mobile tower density, district-level population statistics, and social media usage. Extensive mathematical formulations, including novel models for bitrate estimation, round-trip time optimization, and reliability analysis, are provided alongside detailed diagrams and multiple examples of code in both Python and C++. Experimental results demonstrate significant improvements in throughput, latency reduction, and overall service quality, offering a scalable blueprint for next-generation communication systems in hyper-dense urban environments.
Cite
@article{arxiv.2506.17343,
title = {Solving the Problem of Poor Internet Connectivity in Dhaka: Innovative Solutions Using Advanced WebRTC and Adaptive Streaming Technologies},
author = {Pavel Malinovskiy},
journal= {arXiv preprint arXiv:2506.17343},
year = {2025}
}
Comments
12 pages, 4 figures, published in IRJMETS (Vol. 7, Issue 3, 2025)