Achieving Low Complexity Neural Decoders via Iterative Pruning

12/11/2021
by   Vikrant Malik, et al.
0

The advancement of deep learning has led to the development of neural decoders for low latency communications. However, neural decoders can be very complex which can lead to increased computation and latency. We consider iterative pruning approaches (such as the lottery ticket hypothesis algorithm) to prune weights in neural decoders. Decoders with fewer number of weights can have lower latency and lower complexity while retaining the accuracy of the original model. This will make neural decoders more suitable for mobile and other edge devices with limited computational power. We also propose semi-soft decision decoding for neural decoders which can be used to improve the bit error rate performance of the pruned network.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/19/2021

Coded Faster-than-Nyquist Signaling for Short Packet Communications

Ultra-reliable low-latency communication (URLLC) requires short packets ...
research
07/14/2022

DropNet: Reducing Neural Network Complexity via Iterative Pruning

Modern deep neural networks require a significant amount of computing ti...
research
11/05/2019

Convolutional Neural Network-aided Bit-flipping for Belief Propagation Decoding of Polar Codes

Known for their capacity-achieving abilities, polar codes have been sele...
research
06/05/2023

Low-Latency SCL Bit-Flipping Decoding of Polar Codes

Bit flipping can be used as a postprocessing technique to further improv...
research
01/04/2019

Convolutionally Coded SNR-Adaptive Transmission for Low-Latency Communications

Fifth generation new radio aims to facilitate new use cases in wireless ...
research
08/04/2022

Keyword Spotting System and Evaluation of Pruning and Quantization Methods on Low-power Edge Microcontrollers

Keyword spotting (KWS) is beneficial for voice-based user interactions w...
research
02/20/2019

Balance Queueing and Retransmission: Latency-Optimal Massive MIMO Design

One fundamental challenge in 5G URLLC is how to optimize massive MIMO co...

Please sign up or login with your details

Forgot password? Click here to reset