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

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 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.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
07/31/2018

Deep Learning in Physical Layer Communications

It has been demonstrated that deep learning (DL) has the great potential...
research
09/30/2019

Multiple Antenna Technologies for Beyond 5G

Multiple antenna technologies have attracted large research interest for...
research
11/26/2019

Biology and Compositionality: Empirical Considerations for Emergent-Communication Protocols

Significant advances have been made in artificial systems by using biolo...
research
07/12/2019

Interference Exploitation via Symbol-Level Precoding: Overview, State-of-the-Art and Future Directions

Interference is traditionally viewed as a performance limiting factor in...
research
12/22/2019

Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing

Deep neural networks provide unprecedented performance gains in many rea...
research
01/10/2020

Two Applications of Deep Learning in the Physical Layer of Communication Systems

Deep learning has proved itself to be a powerful tool to develop data-dr...
research
02/27/2019

Architecting Dependable Learning-enabled Autonomous Systems: A Survey

We provide a summary over architectural approaches that can be used to c...

Please sign up or login with your details

Forgot password? Click here to reset