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Zhuowei Wen

Publications and source records attributed to Zhuowei Wen.

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EnCoR: An end-to-end architecture for simplifying cellular networks

Since their creation, cellular networks have made in-network mobility support a key feature of their service model. While this approach provides seamless connectivity for legacy traffic, it has the side effects of inflating end-user latency and increasing complexity and operational overhead for operators. Yet modern applications and transport protocols are increasingly mobility tolerant, prompting us to revisit the assumption that mobility must be provided as an in-network service. In this paper, we propose EnCoR (End-to-End Core and RAN), a deployable cellular network architecture that removes mobility from the core entirely. Leveraging end-to-end mobility, EnCoR eliminates tunnel-based IP anchoring while preserving compatibility with existing authentication, charging, and QoS techniques. We demonstrate that EnCoR works with unmodified phones while providing equivalent performance as traditional LTE networks for real applications including video and voice calling and video streaming. We show that EnCoR not only allows network operators to reduce end to end latency, but can also reduce the capital cost of providing low latency service to users by more than 90% compared to 3GPP networks, based on cost estimates for cellular network core and border router infrastructure provided by the FCC. Finally, we demonstrate that these gains are achieved while reducing the amount of overall handover control messaging, allowing the EnCoR core network to handle a greater number of mobility handover events than an LTE core under identical hardware constraints, achieving a 2.6x lower handover latency under load.

cs.NI

Red is Sus: Automated Identification of Low-Quality Service Availability Claims in the US National Broadband Map

The FCC's National Broadband Map aspires to provide an unprecedented view into broadband availability in the US. However, this map, which also determines eligibility for public grant funding, relies on self-reported data from service providers that in turn have incentives to strategically misrepresent their coverage. In this paper, we develop an approach for automatically identifying these low-quality service claims in the National Broadband Map. To do this, we develop a novel dataset of broadband availability consisting of 750k observations from more than 900 US ISPs, derived from a combination of regulatory data and crowdsourced speed tests. Using this dataset, we develop a model to classify the accuracy of service provider regulatory filings and achieve AUCs over 0.98 for unseen examples. Our approach provides an effective technique to enable policymakers, civil society, and the public to identify portions of the National Broadband Map that are likely to have integrity challenges.

cs.NI