LE QUY DON
Technical University
VietnameseClear Cookie - decide language by browser settings

Performance Analysis of an Autoencoder-based Communication System with Numerous Transmitter-Receiver Pairs

Huynh, T.N.T. and Hoang, T.K. and Dao, T.-N. (2023) Performance Analysis of an Autoencoder-based Communication System with Numerous Transmitter-Receiver Pairs. In: UNSPECIFIED.

Full text not available from this repository. (Upload)

Abstract

With the significant increase in the number of users, there is a high demand to design a shared communication system that allows multiple users to communicate at the same time. In addition, the autoencoder model has recently emerged as a promising solution to automatically modulate the transmitted symbols. Therefore, in this work, we study an autoencoder-based communication system when multiple users share the same communication channel. Specifically, transmitters jointly modulate the generated symbols using the autoencoder model and send the encoded data to the receivers over the shared communication channel. The optimal constellation diagram is learned by minimizing the difference between the transmitted and reconstructed symbols. We have conducted extensive experiments to evaluate the performance of the autoencoder-based communication system sharing between multiple users. With the same data throughput, the AE-based shared communication system for multiple transmitters and receivers results outperforms traditional time-division and frequency-division multiple access control methods in terms of symbol error rate. © 2023 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Divisions: Offices > Office of International Cooperation
Identification Number: 10.1109/ICCAIS59597.2023.10382342
Uncontrolled Keywords: Access control; Communication channels (information theory); Frequency division multiple access; Transmitters, Auto encoders; Autoencoder-based communication; Communications channels; Communications systems; High demand; Modulation schemes; Multiple user; Optimal constellations; Performances analysis; Shared communication channels, Learning systems
Additional Information: cited By 0; Conference of 12th IEEE International Conference on Control, Automation and Information Sciences, ICCAIS 2023 ; Conference Date: 27 November 2023 Through 29 November 2023; Conference Code:196337
URI: http://eprints.lqdtu.edu.vn/id/eprint/11114

Actions (login required)

View Item
View Item