Networking & Connectivity

Data networks that support the social network

Underlying our applications are networks at scale – and bringing more people online to a faster internet.

Networking is fundamental to the large-scale, distributed systems that power the family of Facebook applications that are used by billions of people. Our Networking researchers focus on making innovative and scalable networking technology by rethinking traditional approaches and designs and collaborating with research and open source communities to develop an ecosystem of open hardware and software. We have developed and shared the details of numerous networking systems. This also includes applications of related disciplines such as machine learning, optimization and algorithmic theory, and formal verification to the networking domain.

Beyond our own infrastructure, Connectivity researchers at Facebook explore new wide area communication models and technologies in multiple domains, including lasers, terrestrial links, wireless networks and high-altitude platforms. Our experts aim to overcome technical challenges, invent new solutions and drastically change the economics of deploying wide-scale internet infrastructure. We work with researchers at universities, government labs and industry to quickly advance these new technologies to become viable solutions for operators and other partners to deploy. For our non-research activities, see the Facebook Connectivity website.


Latest Publications

All Publications

OFC - July 9, 2021

BOW: First Real-World Demonstration of a Bayesian Optimization System for Wavelength Reconfiguration

Zhizhen Zhong, Manya Ghobadi, Maximilian Balandat, Sanjeevkumar Katti, Abbas Kazerouni, Jonathan Leach, Mark McKillop, Ying Zhang

IEEE International Workshop on Spectrum Sharing Technology for Next Generation Communications - June 14, 2021

A Configurable 60GHz Phased Array Platform for Multi-Link mmWave Channel Characterization

Anton Shkel, Alireza Mehrabani, Julius Kusuma

ISCA - June 14, 2021

Enabling Compute-Communication Overlap in Distributed Deep Learning Training Platforms

Saeed Rashidi, Matthew Denton, Srinivas Sridharan, Sudarshan Srinivasan, Amoghavarsha Suresh, Jade Nie, Tushar Krishna

ICASSP - June 11, 2021

Optimizing Coverage and Capacity in Cellular Networks using Machine Learning

Ryan M. Dreifuerst, Samuel Daulton, Yuchen Qian, Paul Parayil Varkey, Maximilian Balandat, Sanjay Kasturia, Anoop Tomar, Ali Yazdan Panah, Vish Ponnampalam, Robert W. Heath Jr

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