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논문 링크: Agentic AI-Enhanced Semantic Communications: Foundations, Architecture, and ApplicationsSemantic communications (SemCom), as one of the key technologies for 6G, is shifting networks from bit transmission to semantic information exchange. On this basis, introducing agentic artificial intelligence (AI) with perception, memory, reasoning, and acarxiv.org 출처: H. Gao, M. Sun, R. Zhang, Y. Wang..

논문 링크: Large Language Model Enhanced Multi-Agent Systems for 6G CommunicationsThe rapid development of the Large Language Model (LLM) presents huge opportunities for 6G communications, e.g., network optimization and management by allowing users to input task requirements to LLMs by nature language. However, directly applying nativearxiv.org 출처: F. Jiang, L. Dong, Y. Peng, K. Wang, K. Yang, C. P..

논문 링크: Representation Learning via Invariant Causal MechanismsSelf-supervised learning has emerged as a strategy to reduce the reliance on costly supervised signal by pretraining representations only using unlabeled data. These methods combine heuristic proxy classification tasks with data augmentations and have achiarxiv.org 출처: J. Mitrovic, B. McWilliams, J. Walker, L. Buesing, and C. Blundel..

논문 링크: Cognitive Semantic Communication Systems Driven by Knowledge GraphSemantic communication is envisioned as a promising technique to break through the Shannon limit. However, the existing semantic communication frameworks do not involve inference and error correction, which limits the achievable performance. In this paper,arxiv.org 출처: F. Zhou, Y. Li, X. Zhang, Q. Wu, X. Lei, and R. Q. Hu, ..

논문 링크: Cognitive Semantic Communication Systems Driven by Knowledge GraphSemantic communication is envisioned as a promising technique to break through the Shannon limit. However, the existing semantic communication frameworks do not involve inference and error correction, which limits the achievable performance. In this paper,arxiv.org 출처: F. Zhou, Y. Li, X. Zhang, Q. Wu, X. Lei, and R. Q. Hu,..

논문 링크: Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future ProspectsDigital Twin (DT) is an emerging technology surrounded by many promises, and potentials to reshape the future of industries and society overall. A DT is a system-of-systems which goes far beyond the traditional computer-based simulations and analysis. It iieeexplore.ieee.org 출처: S. Mihai et al., "Dig..