Simultaneous localization and mapping (SLAM) provides user tracking and environmental mapping capabilities, enabling communication systems to gain situational awareness. Advanced communication networks with ultra-wideband, multiple antennas, and a large number of connections present opportunities for deep integration of sensing and communications. First, the development of integrated sensing and communications (ISAC) is reviewed in this study, and the differences between ISAC and traditional communication are revealed. Then, efficient mechanisms for multi-domain collaborative SLAM are presented. In particular, research opportunities and challenges for cross-sensing, cross-user, cross-frequency, and cross-device SLAM mechanisms are proposed. In addition, SLAM-aided communication strategies are explicitly discussed. We prove that the multi-domain cooperative SLAM mechanisms based on hybrid sensing and crowdsourcing can considerably improve the accuracy of localization and mapping in complex multipath propagation environments through numerical analysis. Furthermore, we conduct testbed experiments to show that the proposed SLAM mechanisms can achieve decimeter-level localization and mapping accuracy in practical scenarios, thereby proving the application prospect of multi-domain collaborative SLAM in ISAC.
翻译:同时的本地化和绘图(SLAM)提供用户跟踪和环境绘图能力,使通信系统能够了解情况; 利用超宽带、多天线和大量连接的高级通信网络,为遥感和通信的深度一体化提供了机会; 首先,本研究报告审查了综合遥感和通信的发展,并揭示了ISAC与传统通信之间的差别; 然后,介绍了多领域合作的SLAM的有效机制; 特别提出了跨传、跨用户、跨频率和跨功能的SLAM机制的研究机会和挑战; 此外,明确讨论了SLAM辅助通信战略; 我们证明,基于混合遥感和众包的多领域合作SLAM机制能够通过数字分析大大提高复杂多路传播环境中的本地化和绘图的准确性; 此外,我们进行了试验试验,以表明拟议的SLAM机制能够在实际情景中实现离子级本地化和绘图准确性,从而证明ISAC多领域协作SLAM的应用前景。