Third-Party Cellular Congestion Detection and Augmentation

Autor: Daniel Iland, Paul Schmitt, Mariya Zheleva, Elizabeth Belding
Rok vydání: 2019
Předmět:
Zdroj: IEEE Transactions on Mobile Computing. 18:221-234
ISSN: 2161-9875
1536-1233
DOI: 10.1109/tmc.2018.2827031
Popis: While cellular networks connect over 3.7 billion people worldwide, their availability and quality is not uniform across regions. Under-provisioned and overloaded networks, as are common in rural or post-disaster areas, lead to poor network performance and a poor-quality user experience. To address this problem, we propose HybridCell: a system that leverages locally-owned small-scale cellular networks to augment the operation of overloaded commercial networks. HybridCell is the first system to allow a user with their existing SIM card and mobile phone to seamlessly switch between commercial and local networks in order to maintain continuous connectivity. HybridCell accomplishes this by identifying poorly-performing networks and taking action to provide seamless cellular connectivity to end users. Using traces from commercial cellular networks collected during our visit to the Za'atari refugee camp in Jordan, we demonstrate HybridCell's capability to detect and act upon commercial network overload, offering an alternate communication channel during times of congestion. We show that even in scenarios where provider networks deny calls due to overload, HybridCell is able to accommodate users and facilitate local calling.
Databáze: OpenAIRE