Orthogonal time frequency space (OTFS) is a modulation technique which is robust against the disruptive effects of doubly-selective channels. In this paper, we perform an experimental study of OTFS by a real-time software defined radio (SDR) setup. Our SDR consists of a Graphical Processing Unit (GPU) for signal processing programmed using Sionna and TensorFlow, and Universal Software Radio Peripheral (USRP) devices for air interface. We implement a low-latency transceiver structure for OTFS and investigate its performance under various Doppler values. By comparing the performance of OTFS with Orthogonal Frequency Division Multiplexing (OFDM), we demonstrate that OTFS is highly robust against the disruptive effects of doubly-selective channels in a real-time experimental setup.
@article{arxiv.2309.12861,
title = {A Proof of Concept for OTFS Resilience in Doubly-Selective Channels by GPU-Enabled Real-Time SDR},
author = {Yi Xien Yap and Neil Bhushan and Onur Dizdar and Ata Sattarzadeh and David Redgate and Venkateswara Battula and Stephen Wang},
journal= {arXiv preprint arXiv:2309.12861},
year = {2023}
}
Comments
ACCEPTED for 2023 IEEE Global Communications Conference: Wireless Communications