Solving the Problem of Poor Internet Connectivity in Dhaka: Innovative Solutions Using Advanced WebRTC and Adaptive Streaming Technologies

TL;DR

This paper introduces an innovative framework combining advanced WebRTC and adaptive streaming to improve internet connectivity in Dhaka's dense urban environment, demonstrating significant performance enhancements.

Contribution

The paper presents a novel integration of WebRTC with adaptive streaming and server-side solutions tailored for Dhaka's unique network challenges, including new models for bitrate and latency optimization.

Findings

Improved throughput and latency in tested scenarios

Enhanced reliability and service quality metrics

Scalable approach for dense urban networks

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.