- Conference Paper
Rights / licenseIn Copyright - Non-Commercial Use Permitted
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. Show more
Book title2019 IEEE International Workshop on Signal Processing Systems (SiPS)
Pages / Article No.
Organisational unit09695 - Studer, Christoph / Studer, Christoph
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