Learning Joint Detection, Equalization and Decoding for Short-Packet Communications

07/12/2022
by   Sebastian Dörner, et al.
0

We propose and practically demonstrate a joint detection and decoding scheme for short-packet wireless communications in scenarios that require to first detect the presence of a message before actually decoding it. For this, we extend the recently proposed serial Turbo-autoencoder neural network (NN) architecture and train it to find short messages that can be, all "at once", detected, synchronized, equalized and decoded when sent over an unsynchronized channel with memory. The conceptional advantage of the proposed system stems from a holistic message structure with superimposed pilots for joint detection and decoding without the need of relying on a dedicated preamble. This results not only in higher spectral efficiency, but also translates into the possibility of shorter messages compared to using a dedicated preamble. We compare the detection error rate (DER), bit error rate (BER) and block error rate (BLER) performance of the proposed system with a hand-crafted state-of-the-art conventional baseline and our simulations show a significant advantage of the proposed autoencoder-based system over the conventional baseline in every scenario up to messages conveying k = 96 information bits. Finally, we practically evaluate and confirm the improved performance of the proposed system over-the-air (OTA) using a software-defined radio (SDR)-based measurement testbed.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
09/28/2021

On Joint Detection and Decoding in Short-Packet Communications

We consider a communication problem in which the receiver must first det...
research
01/19/2022

CRC-Aided List Decoding of Convolutional and Polar Codes for Short Messages in 5G

This paper explores list decoding of convolutional and polar codes for s...
research
07/16/2023

For One-Shot Decoding: Self-supervised Deep Learning-Based Polar Decoder

We propose a self-supervised deep learning-based decoding scheme that en...
research
09/13/2023

Multiplexed Streaming Codes for Messages With Different Decoding Delays in Channel with Burst and Random Erasures

In a real-time transmission scenario, messages are transmitted through a...
research
11/19/2019

Low Complexity Autoencoder based End-to-End Learning of Coded Communications Systems

End-to-end learning of a communications system using the deep learning-b...
research
11/05/2021

Deep Learning Based Near-Orthogonal Superposition Code for Short Message Transmission

Massive machine type communication (mMTC) has attracted new coding schem...
research
08/08/2022

Towards Weak Information Theory: Weak-Joint Typicality Decoding Using Support Vector Machines May Lead to Improved Error Exponents

In this paper, the authors report a way to use concepts from statistical...

Please sign up or login with your details

Forgot password? Click here to reset