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              <text>Jain, Kurunandan; Krishnan, Prabhakar; Pachiyannan, Prabu; Jaganathan, Logeshwaran; Khan, Muhammad Attique; Li, Yang</text>
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              <text>Toward Smart 5G and 6G: Standardization of AI-Native Network Architectures and Semantic Communication Protocols</text>
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              <text>IEEE Communications Standards Magazine;</text>
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              <text>&lt;a href="https://doi.org/10.1109/MCOMSTD.2025.3618114" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/MCOMSTD.2025.3618114&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105020047100?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105020047100?origin=resultslist&lt;/a&gt;</text>
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              <text>Jain K., Amrita Vishwa Vidyapeetham, Center for Cyber Security Systems and Networks, Amritapuri-Campus, Kerala, 690525, India; Krishnan P., Amrita Vishwa Vidyapeetham, Center for Cyber Security Systems and Networks, Amritapuri-Campus, Kerala, 690525, India; Pachiyannan P., College of Computer and Information Sciences, Information Systems Department, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia; Jaganathan L., Christ University, Department of Computer Science, Karnataka, Bengaluru, 560029, India; Khan M.A., Prince Mohammad bin Fahd University, Center of AI, Al Khobar, Dhahran, 34754, Saudi Arabia; Li Y., Shihezi University, College of Mechanical and Electrical Engineering, Shihezi, 832003, China</text>
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              <text>Semantic communication and AI-native design are widely recognized as defining features of 6G, yet existing surveys often treat them conceptually or in isolation. This article provides a standards-oriented perspective that integrates these paradigms and evaluates their implications for architectural design and standardization. We make three concrete contributions: 1) we propose enriched KPI frameworks, security and privacy taxonomies, and interoperability prescriptions that extend beyond current 3GPP, ITU-T, and O-RAN activities; 2) we analyze implementation trade-offs such as computational overhead of semantic encoding and the scalability of federated learning in ultra-dense deployments; and 3) we demonstrate the potential of semantic communication through a UAV case study, highlighting measurable improvements in bandwidth, latency, and coordination efficiency. These contributions distinguish our work from prior surveys by moving beyond high-level vision toward feasibility analysis and concrete standardization pathways, thereby offering actionable insights for the evolution of semantic-aware 6G systems.  2017 IEEE.</text>
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