Deep Unfolding for Communications Systems: A Survey and Some New Directions

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Abstract

Deep unfolding is a method of growing popularity that fuses iterative optimization algorithms with tools from neural networks to efficiently solve a range of tasks in machine learning, signal and image processing, and communication systems. This survey summarizes the principle of deep unfolding and discusses its recent use for communication systems with focus on detection and precoding in multi-Antenna (MIMO) wireless systems and belief propagation decoding of error-correcting codes. To showcase the efficacy and generality of deep unfolding, we describe a range of other tasks relevant to communication systems that can be solved using this emerging paradigm. We conclude the survey by outlining a list of open research problems and future research directions.

Original languageEnglish
Title of host publication2019 IEEE International Workshop on Signal Processing Systems, SiPS 2019
PublisherInstitute of Electrical and Electronics Engineers
Pages266-271
Number of pages6
ISBN (Electronic)9781728119274
DOIs
Publication statusPublished - Oct 2019
Event33rd IEEE International Workshop on Signal Processing Systems, SiPS 2019 - Nanjing, China
Duration: 20 Oct 201923 Oct 2019

Conference

Conference33rd IEEE International Workshop on Signal Processing Systems, SiPS 2019
CountryChina
CityNanjing
Period20/10/1923/10/19

Keywords

  • channel coding
  • deep unfolding
  • Machine learning
  • massive MIMO

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