arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2408.03460cs.ITcs.NIcs.SYeess.SYmath.IT
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面向自适应OFDM/OTFS选择的实时参数估计

Real time parameter estimation for adaptive OFDM/OTFS selection

Amina Darghouthi, Abdelhakim Khlifi, Belgacem Chibani

AI总结:

本文提出利用ISAC实时估计移动用户时延、多普勒、速度和距离,使基站动态选择OFDM或OTFS波形,以提升高移动性、低复杂度场景下的通信性能。

摘要:

未来无线通信系统必须同时应对多重挑战,以确保准确的数据检测、提供高服务质量(QoS),并在低系统设计复杂度下实现高数据传输。此外,它们还需要在不增加系统复杂度的前提下降低能耗和时延。正交频分复用(OFDM)是4G和5G系统中常用的波形,但在高移动性场景下处理显著时延和多普勒扩展方面存在局限。为克服这些不足,一种名为正交时频空(OTFS)的新型波形被提出,其目标是通过使信号与信道行为更紧密匹配来改进OFDM。在本研究中,我们提出一种新策略,使运营商能够基于估计的移动用户参数动态选择最佳波形。我们使用集成雷达感知与通信系统(ISAC)来估计时延和多普勒,以及速度和距离。该方法使基站能够适应移动目标,从而在高移动性和低复杂度场景下提升无线通信系统的性能。仿真结果证明了我们所提方法的有效性,并表明其优于现有方法。

英文摘要:

Future wireless communication systems must simultaneously address multiple challenges to ensure accurate data detection, deliver high Quality of Service (QoS), adding enable a high data transmission with low system design. Additionally, they need to reduce energy consumption and latency without increasing system complexity. Orthogonal Frequency Division Multiplexing (OFDM) is a commonly used waveform in 4G and 5G systems, it has limitations in handling significant delay and Doppler spread in high mobility scenarios. To overcome these weaknesses, a novel waveform named Orthogonal Time Frequency Space (OTFS) has been proposed, which aims to improve upon OFDM by closely matching signals to channel behavior. In this study, we propose a novel strategy that enables operators to dynamically select the best waveform based on estimated mobile user parameters. We use an Integrated Radar Sensing and Communication System (ISAC) to estimate delay and Doppler, as well as speed and range. This approach allows the base station to adapt to the mobile target, thereby enhancing the performance of wireless communication systems in high mobility and low complexity scenarios. Simulation results demonstrate the effectiveness of our proposed approach and show that it outperforms existing methods.

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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