A Survey on Semantic Communications in Internet of Vehicles [PDF]
EntropyThe Internet of Vehicles (IoV), as the core of intelligent transportation system, enables comprehensive interconnection between vehicles and their surroundings through multiple communication modes, which is significant for autonomous driving and ...
Sha Ye, Qiong Wu, Pingyi Fan, Qiang Fan
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Rate–Distortion–Perception Optimized Neural Speech Transmission System for High-Fidelity Semantic Communications [PDF]
SensorsWe consider the problem of learned speech transmission. Existing methods have exploited joint source–channel coding (JSCC) to encode speech directly to transmitted symbols to improve the robustness over noisy channels.
Shengshi Yao, Zixuan Xiao, Kai Niu
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CNN and Attention-Based Joint Source Channel Coding for Semantic Communications in WSNs [PDF]
SensorsWireless Sensor Networks (WSNs) have emerged as an efficient solution for numerous real-time applications, attributable to their compactness, cost-effectiveness, and ease of deployment.
Xinyue Liu +4 more
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Federated Learning Semantic Communication in UAV Systems: PPO-Based Joint Trajectory and Resource Allocation Optimization [PDF]
SensorsSemantic 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 +4 more
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Harnessing the Power of Pre-Trained Models for Efficient Semantic Communication of Text and Images [PDF]
EntropyThis 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
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On the Rate-Distortion Theory for Task-Specific Semantic Communication [PDF]
EntropySemantic communication has attracted considerable interest due to its potential to support emerging human-centric services, such as holographic communications, extended reality (XR), and human-machine interactions.
Jingxuan Chai +4 more
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Task-Oriented Data Compression for Multi-Agent Communications Over Bit-Budgeted Channels
IEEE Open Journal of the Communications Society, 2022 Various applications for inter-machine communications are on the rise. Whether it is for autonomous driving vehicles or the Internet of everything, machines are more connected than ever to improve their performance in fulfilling a given task.
Arsham Mostaani +3 more
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Semantic Communication With Memory
IEEE Journal on Selected Areas in Communications, 2023 12 ...
Huiqiang Xie, Zhijin Qin, Geoffrey Ye Li
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Advances and challenges in semantic communications: A systematic review
National Science Open, 2023 Inspired by the recent success of machine learning (ML), the concept of semantic communication introduced by Weaver in 1949 has gained significant attention and has become a promising research direction.
Zhang Ping +3 more
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Rethinking Modern Communication from Semantic Coding to Semantic Communication
IEEE Wireless Communications, 2023 Accepted by IEEE Wireless ...
Lu, Kun +7 more
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