Existing works on artificial intelligence (AI)-empowered wireless communication primarily focus on monolithic usage scenarios and isolated tasks with limited labeled data or capacity-driven modular optimization, which become inadequate and unscalable with the proliferation of task classes and heterogeneous requirements...
Da-Zhi He, Tian-Yu Jiao, Tao Tao et al.· IEEE Wireless Communications...· 0 citations
The proposed LGSemCom framework is a lightweight generative packet-level joint source-channel coding (JSCC) framework for efficient and robust image transmission over packet erasure channels that employs a fully convolutional codec based on efficient long-range attention blocks that capture global semantic dependencies...
Yu-Fei Bo, Hao-Shuo Zhang, Mei-Xia Tao et al.· 0 citations
Existing digital semantic communication schemes rely on predefined conventional constellations. Such designs overlook the potential of optimizing constellation geometry for specific semantic tasks. Meanwhile, traditional constellation geometric shaping methods are inadequate for semantics-oriented communication tasks....
Maritime satellite communications (SATCOMs) are expected to support high-capacity ship-to-satellite uplinks for remote maritime services beyond terrestrial coverage, with low-Earth-orbit (LEO) satellites providing wide-area connectivity. However, robust uplink beamforming in LEO maritime SATCOMs is challenging because...
