The recently commercialized fifth-generation (5G) wireless communication networks achieved many improvements, including air interface enhancement, spectrum expansion, and network intensification by several key technologies, such as massive multiple-input multiple-output (MIMO), millimeter-wave communications, and ultra-dense networking. Despite the deployment of 5G commercial systems, wireless communications is still facing many challenges to enable connected intelligence and a myriad of applications such as industrial Internet-of-things, autonomous systems, brain-computer interfaces, digital twin, tactile Internet, etc. Therefore, it is urgent to start research on the sixth-generation (6G) wireless communication systems. Among the candidate technologies for such systems, cell-free massive MIMO which combines the advantages of distributed systems and massive MIMO is considered as a key solution to enhance the wireless transmission efficiency and becomes the international frontier. In this paper, we present a comprehensive study on cell-free massive MIMO for 6G wireless communication networks, especially from the signal processing perspective. We focus on enabling physical layer technologies for cell-free massive MIMO, such as user association, pilot assignment, transmitter and receiver design, as well as power control and allocation. Furthermore, some current and future research problems are highlighted.
翻译:最近商业化的第五代(5G)无线通信网络取得了许多改进,包括加强空气接口、扩大频谱和通过若干关键技术加强网络,例如大规模多投入多输出(MIMO)、毫米波通信和超临界网络。尽管部署了5G商业系统,无线通信仍面临许多挑战,使联网情报和工业互联网、自主系统、脑计算机界面、数字双对、触觉互联网等多种应用成为可能。因此,迫切需要开始研究第六代(6G)无线通信系统。在这类系统候选技术中,将分布式系统和大规模移动卫星的优势结合起来的无细胞大规模MIMO被视为提高无线传输效率和成为国际前沿的关键解决办法。在本文件中,我们特别从信号处理角度对6G无线通信网络的无细胞大规模MIMO进行了全面研究。我们侧重于使无细胞大规模移动的物理层技术,例如用户联系、试点分配、发射机和接收机的设计等,以及当前和未来的电力控制与分配问题都得到了强调。