A Proof of Concept for OTFS Resilience in Doubly-Selective Channels by GPU-Enabled Real-Time SDR
Yi Xien Yap, Neil Bhushan, Onur Dizdar, Ata Sattarzadeh, David, Redgate, Venkateswara Battula, Stephen Wang

TL;DR
This paper experimentally demonstrates that OTFS modulation, implemented on a GPU-enabled SDR setup, offers high robustness against doubly-selective channels, outperforming OFDM in real-time conditions.
Contribution
It provides a real-time experimental validation of OTFS resilience in doubly-selective channels using GPU-accelerated SDR hardware.
Findings
OTFS outperforms OFDM in doubly-selective channels
GPU-accelerated SDR enables real-time OTFS implementation
OTFS shows high robustness across various Doppler values
Abstract
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.
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Taxonomy
TopicsPAPR reduction in OFDM · Advanced Fiber Optic Sensors · Optical Network Technologies
