标题： 信号处理和学习在第六代移动通信中的下一代多址接入 显示英文标题

标题： Signal Processing and Learning for Next Generation Multiple Access in 6G

摘要： 迄今为止，无线通信系统主要依赖于资源的正交性来实现从用户接入到数据传输的设计和实施。第六代（6G）无线系统中的新兴应用和场景需要大规模连接和大量数据的传输，这要求设计概念具有超越正交性的更大灵活性。此外，信号处理和学习（如深度学习）领域的最新进展为解决复杂且以前难以处理的问题提供了有前景的方法。本文概述了迄今为止在下一代多址接入信号处理和学习领域中的研究努力，重点介绍了大规模随机接入和非正交多址接入。讨论了与新技术的有希望的相互作用以及基于学习的下一代多址接入面临的挑战。 显示英文摘要

摘要： Wireless communication systems to date primarily rely on the orthogonality of resources to facilitate the design and implementation, from user access to data transmission. Emerging applications and scenarios in the sixth generation (6G) wireless systems will require massive connectivity and transmission of a deluge of data, which calls for more flexibility in the design concept that goes beyond orthogonality. Furthermore, recent advances in signal processing and learning, e.g., deep learning, provide promising approaches to deal with complex and previously intractable problems. This article provides an overview of research efforts to date in the field of signal processing and learning for next-generation multiple access, with an emphasis on massive random access and non-orthogonal multiple access. The promising interplay with new technologies and the challenges in learning-based NGMA are discussed.