This paper considers an unmanned aerial vehicles (UAV) communication network, where UAV operate as an aerial mobile relay between a source and a destination of the network. To capture the “timeliness” of the received information at the destination node, a new performance metric named age of information (AoI) is considered. In addition, a short packet communication scheme maintains low latency in the proposed UAV wireless communication system. The finite block-length theory investigates the performances of short packet communications scheme in the UAV-assisted wireless communications system. In this paper, the Average Age of Information (AAoI) is estimated by applying the Stochastic Hybrid Systems (SHS) model. The SHS model comprises discrete states represents events that reset the AoI process and continuously dynamics that represent linearly growing age processes. Finally, a closed-form expression for the AAoI of the proposed UAV wireless communication system is derived and it can be used to estimate the optimal altitude, block length and other parameters.

Age of Information (AoI) measures the freshness of data in mission critical Internet-of-Things (IoT) applications i.e., industrial internet, intelligent transportation systems etc. In this paper, a new system model is proposed to estimate the average AoI (AAoI) in an ultra-reliable low latency communication (URLLC) enabled wireless communication system with decodeand- forward relay scheme over the quasi-static Rayleigh block fading channels. Short packet communication scheme is used to meet both reliability and latency requirements of the proposed wireless network. By resorting finite block length information theory, queuing theory and stochastic processes, a closed-form expression for AAoI is obtained. Finally, the impact of the system parameters, such as update generation rate, block length and block length allocation factor on the AAoI are investigated. All results are validated by the numerical results.

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 technolo- gies 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 exist- ing drone communication methods:Encryption and opti- mization techniques for ensuring long􀀀lasting and se- cure communications; as well as for power management; are discussed:Moreover; applications of UAV networks for di?erent contextual uses ranging from navigation to surveillance; URLLC (Ultra-reliable and low􀀀latency communications); edge computing and work related to arti?cial intelligence are examined: In particular; the intricate interplay between UAV; advanced cellu- lar communication; and internet of things constitutes one of the focal points of this paper: The survey en- compasses lessons learned; insights; challenges; open issues; and future directions in UAV communications: