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English(EN) Bridging Neural Networks and Wireless Systems with MIMO-OFDM Semantic Communications

研究论文详细介绍 MIMO-OFDM 语义通信的挑战

这篇研究论文探讨了在实际无线环境中实现语义通信系统所面临的挑战,特别关注 MIMO-OFDM 系统。研究确定了功率放大器非线性和峰均功率比变化是影响性能的关键问题。通过分析信道频率选择性的影响,作者提出了有针对性的缓解策略,以帮助语义系统达到理论性能水平,并为实际部署提供见解。 AI

影响 解决了 AI 驱动通信系统的实际部署挑战,有可能提高无线网络的效率。

排序理由 这是一篇在 arXiv 上发表的学术研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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研究论文详细介绍 MIMO-OFDM 语义通信的挑战

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这是一篇在 arXiv 上发表的学术研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Hanju Yoo, Dongha Choi, Yonghwi Kim, Yoontae Kim, Songkuk Kim, Chan-Byoung Chae, Robert W. Heath Jr ·

    利用MIMO-OFDM语义通信连接神经网络与无线系统

    arXiv:2501.16726v2 Announce Type: replace-cross Abstract: Semantic communications aim to enhance transmission efficiency by jointly optimizing source coding, channel coding, and modulation. While prior research has demonstrated promising performance in simulations, real-world imp…