特征解纠缠语义广播通信网络
Features Disentangled Semantic Broadcast Communication Networks
摘要：
单用户语义通信近年来得到了广泛的研究，但多用户语义广播通信（BC）仍处于起步阶段。在本文中，我们提出了一个实用的鲁棒的功能分离的多用户语义BC框架，其中发送器包括一个功能选择模块，每个用户有一个功能完成模块。语义编码器不是广播所有提取的特征，而是提取解纠缠的语义特征，然后仅选择用户想要的语义特征进行广播，这可以进一步提高传输效率。在这个框架内，我们进一步研究两个信息理论的指标，包括最终的压缩率下的失真和感知的约束，和可实现的语义BC率区域。此外，为了实现所提出的语义BC框架，我们设计了一个轻量级的强大的语义BC网络，利用监督自动编码器（AE），它可以可控地解开语义功能。此外，我们设计了第一个硬件概念验证原型的语义BC网络，其中所提出的语义BC网络可以实时实现。仿真和实验结果表明，所提出的鲁棒语义BC网络可以显着提高传输效率。
英文摘要：
Single-user semantic communications have attracted extensive research recently, but multi-user semantic broadcast communication (BC) is still in its infancy. In this paper, we propose a practical robust features-disentangled multi-user semantic BC framework, where the transmitter includes a feature selection module and each user has a feature completion module. Instead of broadcasting all extracted features, the semantic encoder extracts the disentangled semantic features, and then only the users' intended semantic features are selected for broadcasting, which can further improve the transmission efficiency. Within this framework, we further investigate two information-theoretic metrics, including the ultimate compression rate under both the distortion and perception constraints, and the achievable rate region of the semantic BC. Furthermore, to realize the proposed semantic BC framework, we design a lightweight robust semantic BC network by exploiting a supervised autoencoder (AE), which can controllably disentangle sematic features. Moreover, we design the first hardware proof-of-concept prototype of the semantic BC network, where the proposed semantic BC network can be implemented in real time. Simulations and experiments demonstrate that the proposed robust semantic BC network can significantly improve transmission efficiency.
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