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When Cell Towers Fail: Quantifying the Customer Impact

by: He Yan, Zihui Ge, Matt Osinski, Jennifer Yates, March 6, 2013

When cell towers fail, what happens to customers? In a resilient network where customers may simply move from a failed tower to another one nearby, the answer is not always clear. Nor can it be captured by manual assessments that count the number of failed towers and estimate population density, thus ignoring how an outage may be dispersed over a wide area.

What’s needed is an in-depth analysis of network data, and it's why AT&T researchers created the AT&T Tower Outage and Network Analyzer, which looks at the complex interactions among customers and towers to intelligently assess the impact to all customers in the immediate area. Read more.

 

Mazin Gilbert Interviewed in Popular Mechanics

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Machine speech translation is hard to do; it requires recognizing the language, transcribing it, doing the translation—all while the person is talking. Processing requirements are enormous.

In this Popular Mechanics interview, Mazin Gilbert describes how AT&T Research is incorporating machine learning and cloud technology to enhance its speech technologies—representing over 30 years of research—and make smooth, seamless translation a reality.


Two Bowls, Some Pebbles Signal Digital Availability

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Imagine arriving home and signaling your digital availability by moving pebbles from one bowl to another: one bowl for close friends only (or for text messages only), another for wider availability. It's a refreshingly simple use of physical objects to maintain control in a plugged-in age. And it is the idea behind Lana Yarosh's Availabowls project, which works by attaching programmable RFID tags to pebbles. For more information about Availabowls, see this article.


Mobile App Optimization Gets "Sexy"

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Application battery performance "sexy"? Yes, according to this article, which describes how IBM is integrating the AT&T Application Resource Optimizer (ARO) with its own development software. The goal is to enable enterprises to create mobile apps that use less battery power and are more network-friendly.

Created at AT&T Research, ARO is a free diagnostic tool available from the AT&T Developer Program


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Technical Documents

Background Traffic Optimization for Meeting Deadlines in Data Center Storage
Rajesh Panta, Shijing Li, Tian Lan, Moo Ra

OSCAR: An Optimized Stall-Cautious Adaptive Bitrate Streaming Algorithm for Mobile Networks
Vijay Gopalakrishnan, Emir Halepovic, Rittwik Jana, Rakesh Sinha, Ahmed H. Zahran, Jason J Quinlan, Cormac J. Sreenan, Darijo Raca

Valet: Holistic Data Center Optimization for OpenStack
Joe D'Andrea, Kaustubh Joshi, Matti Hiltunen, Gueyoung Jung, Bharath Balasubramanian

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