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Reliable Semantic Communication System Enabled by Knowledge Graph [PDF]

Entropy, 2022
Semantic communication is a promising technology used to overcome the challenges of large bandwidth and power requirements caused by the data explosion. Semantic representation is an important issue in semantic communication. The knowledge graph, powered
Shengteng Jiang, Yueling Liu, Yichi Zhang, Peng Luo, Kuo Cao, Jun Xiong, Haitao Zhao, Jibo Wei   +7 more
doaj   +2 more sources

Semantic Communication: A Survey of Its Theoretical Development [PDF]

Entropy
In recent years, semantic communication has received significant attention from both academia and industry, driven by the growing demands for ultra-low latency and high-throughput capabilities in emerging intelligent services.
Gangtao Xin, Pingyi Fan, Khaled B. Letaief   +2 more
doaj   +2 more sources

Federated Learning Semantic Communication in UAV Systems: PPO-Based Joint Trajectory and Resource Allocation Optimization [PDF]

Sensors
Semantic Communication (SC), driven by a deep learning (DL)-based “understand-before-transmit” paradigm, transmits lightweight semantic information (SI) instead of raw data. This approach significantly reduces data volume and communication overhead while
Shuang Du, Yue Zhang, Zhen Tao, Han Li, Haibo Mei   +4 more
doaj   +2 more sources

Harnessing the Power of Pre-Trained Models for Efficient Semantic Communication of Text and Images [PDF]

Entropy
This paper investigates point-to-point multimodal digital semantic communications in a task-oriented setup, where messages are classified at the receiver. We employ a pre-trained transformer model to extract semantic information and propose three methods
Emrecan Kutay, Aylin Yener
doaj   +2 more sources

Synchronizing LLM-based semantic knowledge bases via secure federated fine-tuning in semantic communication [PDF]

Frontiers in Artificial Intelligence
Semantic communication (SemCom) has seen substantial growth in recent years, largely due to its potential to support future intelligent industries. This advancement hinges on the construction and synchronization of robust semantic knowledge bases (SKBs ...
Long Li, Yuanhang He, Rui Xu, Bei Chen, Boyu Han, Yuanyuan Zhao, Jianhua Li   +6 more
doaj   +2 more sources

Feature-Driven Semantic Communication for Efficient Image Transmission [PDF]

Entropy
Semantic communication is an emerging approach that enhances transmission efficiency by conveying the semantic content of information more effectively. It has garnered significant attention in recent years.
Ji Zhang, Ying Zhang, Baofeng Ji, Anmin Chen, Aoxue Liu, Hengzhou Xu   +5 more
doaj   +2 more sources

Correction: Synchronizing LLM-based semantic knowledge bases via secure federated fine-tuning in semantic communication [PDF]

Frontiers in Artificial Intelligence
Long Li, Yuanhang He, Rui Xu, Bei Chen, Boyu Han, Yuanyuan Zhao, Jianhua Li   +6 more
doaj   +2 more sources

Semantic Communication With Memory

IEEE Journal on Selected Areas in Communications, 2023
12 ...
Huiqiang Xie, Zhijin Qin, Geoffrey Ye Li
openaire   +2 more sources

Rethinking Modern Communication from Semantic Coding to Semantic Communication

IEEE Wireless Communications, 2023
Accepted by IEEE Wireless ...
Lu, Kun, Zhou, Qingyang, Li, Rongpeng, Zhao, Zhifeng, Chen, Xianfu, Wu, Jianjun, Zhang, Honggang   +7 more
openaire   +2 more sources

Robust Semantic Communications Against Semantic Noise

2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall), 2022
Although the semantic communications have exhibited satisfactory performance in a large number of tasks, the impact of semantic noise and the robustness of the systems have not been well investigated. Semantic noise is a particular kind of noise in semantic communication systems, which refers to the misleading between the intended semantic symbols and ...
Hu, Qiyu, Zhang, Guangyi, Qin, Zhijin, Cai, Yunlong, Yu, Guanding, Li, Geoffrey Ye   +5 more
openaire   +2 more sources