Solving the Problem of Poor Internet Connectivity in Dhaka: Innovative Solutions Using Advanced WebRTC and Adaptive Streaming Technologies
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866909654537207808 |
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| author | Malinovskiy, Pavel |
| author_facet | Malinovskiy, Pavel |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_17343 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Solving the Problem of Poor Internet Connectivity in Dhaka: Innovative Solutions Using Advanced WebRTC and Adaptive Streaming Technologies Malinovskiy, Pavel Networking and Internet Architecture C.2.1; C.2.2; C.2.4; H.4.3 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. |
| title | Solving the Problem of Poor Internet Connectivity in Dhaka: Innovative Solutions Using Advanced WebRTC and Adaptive Streaming Technologies |
| topic | Networking and Internet Architecture C.2.1; C.2.2; C.2.4; H.4.3 |
| url | https://arxiv.org/abs/2506.17343 |