@inproceedings{923b4a620cbd4851a4822fcda0de3baa,
title = "Evaluation of Coarse-Grained Reconfigurable Array for a Dual Mode OTFS-OFDM Modulator",
abstract = "Orthogonal Time Frequency Space (OTFS) multiplexing, a prospective waveform for 6G offers high reliability under high mobility compared to Orthogonal Frequency Division Multiplexing (OFDM), but it is characterized by relatively high computational complexity. To address this challenge, a dual-mode framework has been proposed in the literature that dynamically switches between OFDM and OTFS as needed. However, processing such a computationally intensive workload is not feasible on general-purpose processors and therefore must be accelerated through an Application-Specific Integrated Circuit (ASIC) or a reconfigurable hardware device. A typical form of a reconfigurable hardware is a Coarse-Grained Reconfigurable Array (CGRA). The concept of CGRA has existed for a few decades, but it is still gaining traction due to its massively parallel processing capabilities and run-time reconfigurability. This paper proposes a CGRA-based modulator to meet the run-time switching requirements for a dual-mode OFDM-OTFS system. The CGRA is synthesized on a Stratix-IV FPGA device for prototyping purposes. Operating at a frequency of 181.0 MHz, the CGRA delivers a performance of 11.58 GOPS with a dynamic power dissipation of 308 mW. The proposed architecture is evaluated for multiple OTFS scales (8 × 4,8× 8,16× 16) and demonstrates that the proposed solution offers promising results in terms of both performance and scalability.",
keywords = "2D FFT, 6G, CGRA, Gear-box PHY, OFDM, OTFS, Reconfigurable Computing",
author = "Zohaib Hassan and Waqar Hussain and Aleksandr Ometov and Lohan, \{Elena Simona\} and Jari Nurmi",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; IEEE Workshop on Signal Processing Systems ; Conference date: 04-11-2024 Through 06-11-2024",
year = "2024",
doi = "10.1109/SiPS62058.2024.00040",
language = "English",
isbn = "9798350373769",
series = "IEEE International Workshop on Signal Processing Systems",
publisher = "IEEE",
pages = "183--188",
booktitle = "Proceedings - 2024 IEEE Workshop on Signal Processing Systems, SiPS 2024",
address = "United States",
}