ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

A DNN-based OTFS Transceiver with Delay-Doppler Channel Training and IQI Compensation

Naikoti, A and Chockalingam, A (2021) A DNN-based OTFS Transceiver with Delay-Doppler Channel Training and IQI Compensation. In: 32nd IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, 13-16 sept 2021, Helsinki, pp. 628-634.

Full text not available from this repository.
Official URL: https://doi.org/10.1109/PIMRC50174.2021.9569634

Abstract

In this paper, we present a deep neural network (DNN) based transceiver architecture for delay-Doppler (DD) channel training and detection of orthogonal time frequency space (OTFS) modulation signals along with IQ imbalance (IQI) compensation. The proposed transceiver learns the DD channel over a spatial coherence interval and detects the information symbols using a single DNN trained for this purpose at the receiver. The proposed transceiver also learns the IQ imbalances present in the transmitter and receiver and effectively compensates them. The transmit IQI compensation is realized using a single DNN at the transmitter which learns and provides a compensating modulation alphabet (to pre-rotate the modulation symbols before sending through the transmitter) without explicitly estimating the transmit gain and phase imbalances. The receive IQI imbalance compensation is realized using two DNNs at the receiver, one DNN for explicit estimation of receive gain and phase imbalances and another DNN for compensation. Simulation results show that the proposed DNN-based architecture provides very good performance, making it as a promising approach for the design of practical OTFS transceivers. © 2021 IEEE.

Item Type: Conference Paper
Publication: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
Publisher: Institute of Electrical and Electronics Engineers Inc.
Additional Information: The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords: Modulation; Network architecture; Signal detection, Channel trainings; Delay-dopple domain; Doppler; Doppler channels; Imbalance compensation; IQ imbalances; Learn+; Orthogonal time frequency space modulation; Signal's detections; Time-frequency space, Deep neural networks
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 18 Nov 2021 11:03
Last Modified: 18 Nov 2021 11:03
URI: http://eprints.iisc.ac.in/id/eprint/70561

Actions (login required)

View Item View Item