6G定位和感知白皮书
6G White Paper on Localization and Sensing
摘要：
本白皮书通过确定关键技术推动因素并讨论其潜在挑战、实施问题以及确定潜在解决方案，探讨了5G后无线通信系统未来的本地化和感知机会。此外，我们为定位和传感应用提供了令人兴奋的新机会，这将颠覆传统的设计原则，彻底改变我们的生活方式，与环境互动以及开展业务。随着5G NR系统的发展趋势，6G将继续朝着更高的频率范围、更宽的带宽和大规模天线阵列发展。反过来，这将使传感解决方案具有非常精细的范围，多普勒和角度分辨率，以及定位到厘米级的准确度。此外，新材料、设备类型和可重构表面将使网络运营商能够重塑和控制环境的电磁响应。与此同时，机器学习和人工智能将利用前所未有的数据和计算资源来解决无线通信系统中最大和最困难的问题。6G将是真正的智能无线系统，不仅能提供无处不在的通信，还能提供高精度定位和高分辨率传感服务。它们将成为这场革命的催化剂，带来一系列独特的新功能和服务能力，定位和传感将与通信共存，持续共享时间，频率和空间上的可用资源。本白皮书最后强调了基础研究面临的挑战，以及与隐私、安全和信任相关的影响和机遇。应对这些挑战无疑需要研究界的跨学科和协调一致的努力。
英文摘要：
This white paper explores future localization and sensing opportunities for beyond 5G wireless communication systems by identifying key technology enablers and discussing their underlying challenges, implementation issues, and identifying potential solutions. In addition, we present exciting new opportunities for localization and sensing applications, which will disrupt traditional design principles and revolutionize the way we live, interact with our environment, and do business. Following the trend initiated in the 5G NR systems, 6G will continue to develop towards even higher frequency ranges, wider bandwidths, and massive antenna arrays. In turn, this will enable sensing solutions with very fine range, Doppler and angular resolutions, as well as localization to cm-level degree of accuracy. Moreover, new materials, device types, and reconfigurable surfaces will allow network operators to reshape and control the electromagnetic response of the environment. At the same time, machine learning and artificial intelligence will leverage the unprecedented availability of data and computing resources to tackle the biggest and hardest problems in wireless communication systems. 6G will be truly intelligent wireless systems that will not only provide ubiquitous communication but also empower high accuracy localization and high-resolution sensing services. They will become the catalyst for this revolution by bringing about a unique new set of features and service capabilities, where localization and sensing will coexist with communication, continuously sharing the available resources in time, frequency and space. This white paper concludes by highlighting foundational research challenges, as well as implications and opportunities related to privacy, security, and trust. Addressing these challenges will undoubtedly require an inter-disciplinary and concerted effort from the research community.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
