Tomorrow’s Wireless Networks to Rely on Machine Learning Research
Today’s wireless networks were designed and built to support a growing number of consumers who are using it for an ever-growing number of applications and services. This includes things like the multitude of apps on a typical cell phone, social media, music and video streaming and even live television broadcasts – with the latter creating very big draws on limited bandwidth.
image credit: NSF
As technology continues to evolve, including things like autonomous vehicles and drones, and become wide-spread, the need for higher bandwidth cellular and Wi-Fi connectivity will become increasingly important. Part of that solution is the emerging roll-out of 5G services. To aid in this push towards the future of wireless, Machine learning will play a key role.
Recognizing this need, National Science Foundation (NSF) has announced that it will provide funding to Intel for research and development in this arena.
“The wireless networks of the future need to support much higher requirements than what current wireless networks can deliver, and they also need to be secure and energy-efficient,” said Margaret Martonosi, assistant director for Computer and Information Science and Engineering. “That is why NSF and Intel have contributed $9 million to advance research activities addressing some of the most challenging issues in the development of future wireless systems.”
This is just the most recent development in the relationship between the NSF and Intel. The two have been working together and funding tech and engineering research for many years now.
“This fundamental, broad-based research on wireless-specific machine learning techniques enables new wireless architectures and systems for future applications.”
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