To Learn or Not to Learn:Deep Learning Assisted Wireless Modem Design

XUE Songyan; L I Ang; WANG Jinfei; Y I Na; M A Yi; Rahim Tafazolli

doi:10.12142/ZTECOM.201904002

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To Learn or Not to Learn:Deep Learning Assisted Wireless Modem Design

Journal article

Peer reviewed

To Learn or Not to Learn:Deep Learning Assisted Wireless Modem Design

XUE Songyan, L I Ang, WANG Jinfei, Y I Na, M A Yi and Rahim Tafazolli

中兴通讯技术（英文版）, Vol.17(4), pp.3-11

2019

DOI: https://doi.org/10.12142/ZTECOM.201904002

Abstract

deep learning

neural networks

modulation and coding

Machine Learning

Deep learning is driving a radical paradigm shift in wireless communications, all the way from the application layer down to the physical layer. Despite this, there is an ongoing debate as to what additional values artificial intelligence (or machine learning) could bring to us, particularly on the physical layer design; and what penalties there may have? These ques-tions motivate a fundamental rethinking of the wireless modem design in the artificial intelli-gence era. Through several physical-layer case studies, we argue for a significant role that ma-chine learning could play, for instance in parallel error-control coding and decoding, channel equalization, interference cancellation, as well as multiuser and multiantenna detection. In addition, we discuss the fundamental bottlenecks of machine learning as well as their poten-tial solutions in this paper.

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Title: To Learn or Not to Learn:Deep Learning Assisted Wireless Modem Design
Creators: XUE Songyan - University of Surrey, School of Computer Science and Electronic Engineering
L I Ang - University of Surrey, School of Computer Science and Electronic Engineering
WANG Jinfei - University of Surrey, School of Computer Science and Electronic Engineering
Y I Na - University of Surrey, School of Computer Science and Electronic Engineering
M A Yi - University of Surrey, School of Computer Science and Electronic Engineering
Rahim Tafazolli - University of Surrey, School of Computer Science and Electronic Engineering
Publication Details: 中兴通讯技术（英文版）, Vol.17(4), pp.3-11
Publisher: Institute for Communication Systems, University of Surrey, Guildford, GU2 7XH, the United Kingdom
Date published: 2019
Grant note: This work was supported in part by EU H2020 5G-DRIVE Programme un-der Grant No.814956, in part by Airbus Defense and Space, and in part by the UK 5G Innovation Centre ((5GIC))
Identifiers: 99777802202346
Copyright: The URI http://arxiv.org/licenses/nonexclusive-distrib/1.0/ is used to record the fact that the submitter granted the following license to arXiv.org on submission of an article: I grant arXiv.org a perpetual, non-exclusive license to distribute this article. I certify that I have the right to grant this license. I understand that submissions cannot be completely removed once accepted. I understand that arXiv.org reserves the right to reclassify or reject any submission.
Academic Unit: School of Computer Science and Electronic Engineering
Language: English
Resource Type: Journal article

To Learn or Not to Learn:Deep Learning Assisted Wireless Modem Design

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