Related papers: Toward a 6G AI-Native Air Interface

Toward a 6G AI-Native Air Interface

URL: http://arxiv.org/abs/2012.08285v2
Date: Fri, 30 Apr 2021 09:21:45 GMT
Title: Toward a 6G AI-Native Air Interface
Authors: Jakob Hoydis, Fay\c{c}al Ait Aoudia, Alvaro Valcarce, Harish Viswanathan
Abstract summary: 6G must cater to the needs of large distributed learning systems. It is less certain if AI will play a defining role in the design of 6G itself. The goal of this article is to paint a vision of a new air interface which is partially designed by AI.
Score: 18.29093977252384
License: http://creativecommons.org/licenses/by/4.0/
Abstract: Each generation of cellular communication systems is marked by a defining disruptive technology of its time, such as orthogonal frequency division multiplexing (OFDM) for 4G or Massive multiple-input multiple-output (MIMO) for 5G. Since artificial intelligence (AI) is the defining technology of our time, it is natural to ask what role it could play for 6G. While it is clear that 6G must cater to the needs of large distributed learning systems, it is less certain if AI will play a defining role in the design of 6G itself. The goal of this article is to paint a vision of a new air interface which is partially designed by AI to enable optimized communication schemes for any hardware, radio environment, and application.

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