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arXiv 2310.09671cs.ARcs.SYeess.SY
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面向6G通信系统的OTFS调制FPGA实现

FPGA Implementation of OTFS Modulation for 6G Communication Systems

Murat Isik, Malvin Nkomo, Anup Das, Kapil R. Dandekar

AI总结:

本文针对6G高动态信道下OFDM性能退化问题,提出OTFS调制的FPGA实现,并在Zynq UltraScale+ RFSoC上给出功耗、面积和时序分析,填补了实时硬件实现空白。

摘要:

第六代(6G)通信系统有望在高度动态的信道中提供高速率无线通信服务,其应用包括高速列车、无人机和智能交通系统。正交频分复用(OFDM)调制在此类高移动性应用中由于信道中的高多普勒扩展而遭受性能下降。最近提出的正交时频空间(OTFS)调制方案在支持更高的发射机(Tx)和接收机(Rx)用户速度方面优于OFDM。此外,高度动态的时频(TF)信道对OTFS调制信号影响很小,这使得能够实现用于实现基于大规模多输入多输出(MIMO)的OTFS系统的低复杂度预处理架构。然而,尽管OTFS在文献中从理论和仿真角度受到了关注,但关于OTFS波形的实时FPGA实现的工作相对较少。因此,在本文中,我们首先对OTFS调制进行数学概述,然后描述OTFS在硬件上的FPGA实现。为了基准测试目的,提供了在Zynq UltraScale+ RFSoC FPGA上实现设计的功耗、面积和时序分析。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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