Conference proceeding
FPGA Implementation of OTFS Modulation for 6G Communication Systems
2023 IEEE Future Networks World Forum (FNWF), pp 1-7
13 Nov 2023
Abstract
Sixth-generation (6G) communication systems are poised to accommodate high data-rate wireless communication services in highly dynamic channels, with applications including high-speed trains, unmanned aerial vehicles, and intelligent transportation systems. Orthogonal frequency-division multiplexing (OFDM) modulation suffers from performance degradation in such high-mobility applications due to high Doppler spread in the channel. The recently proposed Orthogonal Time Frequency Space (OTFS) modulation scheme outperforms OFDM in terms of supporting a higher transmitter (Tx) and receiver (Rx) user velocity. Additionally, the highly-dynamic time-frequency (TF) channel has little effect on OTFS modulated signals, which enables the realization of low-complexity pre-processing architectures for implementing massive-multiple input multiple outputs (MIMO) based OTFS systems. However, while OTFS has received attention in the literature from a theory and simulation perspective, there has been comparatively little work on real-time FPGA implementation of OTFS waveforms. Thus, in this paper, we first present a mathematical overview of OTFS modulation and then describe an FPGA implementation of OTFS implementation on hardware. Power, area, and timing analysis of the implemented design on a Zynq UltraScale+ RFSoC FPGA are provided for benchmarking purposes.
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2 citations in Scopus
Details
- Title
- FPGA Implementation of OTFS Modulation for 6G Communication Systems
- Creators
- Murat Isik - Drexel UniversityMalvin Nkomo - Drexel UniversityAnup Das - Drexel UniversityKapil R. Dandekar - Drexel University
- Publication Details
- 2023 IEEE Future Networks World Forum (FNWF), pp 1-7
- Publisher
- IEEE
- Grant note
- CNS-1828236,CNS-1816387 / National Science Foundation (10.13039/100000001)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Scopus ID
- 2-s2.0-85194143391
- Other Identifier
- 991021879632404721