This work investigates the potential of 5G and beyond sidelink (SL) communication to support multi-hop tactical networks. We first provide a technical and historical overview of 3GPP SL standardization activities, and then consider applications to current problems of interest in tactical networking. We consider a number of multi-hop routing techniques which are expected to be of interest for SL-enabled multi-hop tactical networking and examine open-source tools useful for network emulation. Finally, we discuss relevant research directions which may be of interest for 5G SL-enabled tactical communications, namely the integration of RF sensing and positioning, as well as emerging machine learning tools such as federated and decentralized learning, which may be of great interest for resource allocation and routing problems that arise in tactical applications. We conclude by summarizing recent developments in the 5G SL literature and provide guidelines for future research.

翻译：本文研究了5G及未来侧链路通信支持多跳战术网络的潜力。我们首先回顾了3GPP侧链路标准化活动的技术发展历程，继而探讨了其在当前战术网络热点问题中的应用。我们考察了多种预计可用于支持侧链路多跳战术网络的路由技术，并分析了适用于网络仿真的开源工具。最后，我们讨论了与5G侧链路战术通信相关的重点研究方向，包括射频感知与定位的融合，以及新兴机器学习工具（如联邦学习和去中心化学习）——这些方法对战术场景中的资源分配与路由问题具有重要意义。本文通过总结5G侧链路文献的最新进展收尾，并为未来研究提供了指导。