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Research paper details MIMO-OFDM semantic communication challenges

This research paper explores the challenges of implementing semantic communication systems in real-world wireless environments, specifically focusing on MIMO-OFDM systems. The study identifies power amplifier nonlinearity and peak-to-average power ratio variations as key issues that degrade performance. By analyzing the impact of channel frequency selectivity, the authors propose targeted mitigation strategies to help semantic systems achieve theoretical performance levels and provide insights for practical deployment. AI

IMPACT Addresses practical deployment challenges for AI-driven communication systems, potentially improving efficiency in wireless networks.

RANK_REASON This is an academic research paper published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Research paper details MIMO-OFDM semantic communication challenges

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This is an academic research paper published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]
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High
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92 days old
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COVERAGE [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 ·

    Bridging Neural Networks and Wireless Systems with MIMO-OFDM Semantic Communications

    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…