With the advancement in drone technology, in just a few years, drones will be assisting humans in every domain. But there are many challenges to be tackled, communication being the chief one. This paper aims at providing insights into the latest UAV (Unmanned Aerial Vehicle) communication technologies through investigation of suitable task modules, antennas, resource handling platforms, and network architectures. Additionally, we explore techniques such as machine learning and path planning to enhance existing drone communication methods. Encryption and optimization techniques for ensuring long−lasting and secure communications, as well as for power management, are discussed. Moreover, applications of UAV networks for different contextual uses ranging from navigation to surveillance, URLLC (Ultra-reliable and low−latency communications), edge computing and work related to artificial intelligence are examined. In particular, the intricate interplay between UAV, advanced cellular communication, and internet of things constitutes one of the focal points of this paper. The survey encompasses lessons learned, insights, challenges, open issues, and future directions in UAV communications. Our literature review reveals the need for more research work on drone−to−drone and drone−to−device communications.

随着无人机技术的进步，在短短几年内，无人机将在各个领域为人类提供帮助。但是有许多挑战需要解决，沟通是主要挑战。本文旨在通过研究合适的任务模块，天线，资源处理平台和网络体系结构，为最新的UAV（无人机）通信技术提供真知灼见。此外，我们探索了机器学习和路径规划等技术，以增强现有的无人机通信方法。讨论了用于确保持久安全的通信以及电源管理的加密和优化技术。此外，UAV网络在从导航到监视，URLLC（超可靠和低延迟通信），研究了边缘计算和与人工智能相关的工作。特别是，无人机，先进的蜂窝通信和物联网之间的复杂相互作用构成了本文的重点之一。该调查涵盖了无人机通信中的经验教训，见解，挑战，未解决的问题以及未来的方向。我们的文献综述表明，需要对无人机到无人机和无人机到设备通信进行更多的研究工作。