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Industry initiatives
and community partnerships

Industry and university collaborations are an important part of AT&T Labs, giving us the opportunity to solve real-world technology challenges more efficiently and holistically. 

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Northeastern University: RAN-aware low-latency video streaming 

In this project, we focus on exploring the optimization of of low-latency video streaming over wireless which presents very different challenges compared to traditional on-demand videos. The team at Northeastern’s end-to-end testbed with open-source video server/player and RAN environment allows us to experiment different solutions including bandwidth prediction and RAN prioritization through network slicing and/or scheduling. 

UC Davis: Network security at home 

Ever-increasing number in IoT and smart devices connected to home networks opens a door to attackers to compromise confidentiality, availability as well as privacy. This project aims at providing a secure home network environment for our clients. We investigate the potential threats and explore security vulnerabilities existing in the current home network architecture. Based on the studies on threats, AI-enabled countermeasures that consider users, use-cases, service and network providers are developed and trained by using empirical data. 

Virginia Tech and George Mason University

The project involves setting an end-to-end O-RAN testbed capable of interfacing with hardware software-defined radios (SDRs) by exploiting the existing CORNET testbed infrastructure at VT. This infrastructure will allow us to develop and evaluate end-to-end performance of different ML-based near-realtime xApps that optimize user quality of experience based on the learning of their behavior and/or latency constraint.

Purdue University: 5G architecture design  

In our collaboration with Purdue, we are trying to understand and characterize the 5G cellular network domain. The characterization study will reveal insights into performance including latency, throughput, and scalability bottlenecks of realistic 5G workloads on a contemporary 5G core architecture design (specifically, 5GC Service-Based Architecture or SBA), commercially deployed today. The research includes analysis of effects of 5G control events load caused by different capabilities, including massive machine communication, critical machine communication, and enhanced mobile broadband.

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