Green UAV communications for 6G: A survey

Unmanned Aerial Vehicles (UAVs) have received a wide range of attention for military and commercial applications. Enhanced with communication capability, UAVs are considered to play important roles in the Sixth Generation (6G) networks due to their low cost and flexible deployment. 6G is supposed to be an all-coverage network to provide ubiquitous connections for space, air, ground and underwater. UAVs are able to provide air-borne wireless coverage flexibly, serving as aerial base stations for ground users, as relays to connect isolated nodes, or as mobile users in cellular networks. However, the onboard energy of small UAVs is extremely limited. Thus, UAVs can be only deployed to establish wireless links temporarily. Prolonging the lifetime and developing green UAV communication with low power consumption becomes a critical challenge. In this article, a comprehensive survey on green UAV communications for 6G is carried out. Specifically, the typical UAVs and their energy consumption models are introduced. Then, the typical trends of green UAV communications are provided. In addition, the typical applications of UAVs and their green designs are discussed. Finally, several promising techniques and open research issues are also pointed out.     

Robust trajectory planning for UAV communication systems in the presence of jammers

Unmanned Aerial Vehicle (UAV) has emerged as a promising novel application for the Sixth-Generation (6G) wireless communication by leveraging more favorable Line-of-Sight (LoS) propagation. However, the jamming resistance by exploiting UAV’s mobility is a new challenge in the UAV-ground communication. This paper investigates the trajectory planning problem in an UAV communication system, where the UAV is operated by a Ground Control Unit (GCU) to perform certain tasks in the presence of multiple jammers with imperfect power and location information. To ensure the reliability of the GCU-to-UAV link, we formulate the problem as a non-convex semi-infinite optimization, aiming to maximize the average worst-case Signal-to-Interference-plus-Noise Ratio (SINR) over a given flight duration by designing the robust trajectory of the UAV under stringent energy availability constraints. To handle this problem efficiently, we develop an iterative algorithm for the solution with the aid of S-procedure and Successive Convex Approximation (SCA) method. Numerous results demonstrate the efficacy of our proposed algorithm and offer some useful design insights to practical system.     

5G技术在航空制造领域的应用研究

第五代移动通信(5G)作为下一个万亿元规模的战略性新兴产业,已引起全球各国的广泛重视和竞相角逐。5G技术的意义不仅限于提升传输速率,同时也将丰富各类场景应用,为各行各业的数字化转型提供通信技术支持。梳理了5G技术在航空制造业的具体应用和影响。可以预见,在不远的将来,5G将有力引领航空制造业的转型和升级。     

5G微基站环境下GNSS接收机性能及观测质量分析

我国已全面进入5G时代，为研究5G微基站电磁环境对全球卫星导航系统（GNSS）接收机工作性能及观测数据质量的影响，基于自主建设差分基准站的零基线观测数据，采用静态相对定位方法，通过观测数据质量分析、载波与伪距的双差残差序列、对比相对静态定位结果，综合评估5G微基站对GNSS接收机工作性能及观测数据质量的影响。实验表明：当前环境下，GNSS差分基准站及接收机处于近距离建设的5G微基站时，载波相位观测噪声变化范围为5cm，伪距观测噪声变化范围为15cm，零基线测试结果变化范围为1mm。在实验距离内，5G微基站对于GNSS接收机工作性能及数据观测质量影响较小，可以忽略。     

通信导航融合定位技术发展综述

详细分析了蓝牙、Wi-Fi、超宽带、移动通信网络等多种无线网络通信导航融合定位技术的发展现状，并阐述了其面临的挑战，提出了多网融合方法可以提升室内无缝高精度位置服务的可靠性。利用5G移动通信网络，与北斗/GNSS卫星导航系统结合，可以实现相互增强。最后，从天地一体定位导航与授时体系和仿生通信定位导航两方面介绍了通信导航融合定位技术的未来发展趋势。