标题： 基于深度自动编码器的多址信道星座设计 显示英文标题

标题： Deep Autoencoder-Based Constellation Design in Multiple Access Channels

摘要： 在多址信道（MAC）中，多个用户共享传输介质与共同的接收器通信。 传统的星座，如正交幅度调制，是为点对点系统优化的，缺乏减轻用户间干扰的机制，在MAC环境中导致性能不佳。 为了解决这个问题，我们提出了一种针对MAC的新型星座设计框架，该框架采用基于深度自动编码器（DAE）的通信系统。 这种方法智能地创建了能够意识到用户间干扰的灵活星座，降低了符号错误率，并提高了信道的星座约束和总容量。 与解析推导出的星座对比表明， DAE设计的星座在各种系统参数下始终表现最佳或等于最佳。 此外，我们将DAE应用于没有解析解的场景，例如超过两个用户的情况，展示了模型的适应性。 显示英文摘要

摘要： In multiple access channels (MAC), multiple users share a transmission medium to communicate with a common receiver. Traditional constellations like quadrature amplitude modulation are optimized for point-to-point systems and lack mechanisms to mitigate inter-user interference, leading to suboptimal performance in MAC environments. To address this, we propose a novel framework for constellation design in MAC that employs deep autoencoder (DAE)-based communication systems. This approach intelligently creates flexible constellations aware of inter-user interference, reducing symbol error rate and enhancing the constellation-constrained sum capacity of the channel. Comparisons against analytically derived constellations demonstrate that DAE-designed constellations consistently perform best or equal to the best across various system parameters. Furthermore, we apply the DAE to scenarios where no analytical solutions have been developed, such as with more than two users, demonstrating the adaptability of the model.