دانلود کتاب ادغام وسایل نقلیه هوایی بدون سرنشین در ارتباطات و شبکه های بی سیم پهپاد و 5G

The book Integration of UAVs in 5G Communication and Networks focuses on the recent advances in the UAVs and 5G communications and networks. This book aims to provide a unique research perspective to various industry and academic researchers. The role of UAVs with current advances in wireless communication helps to improve the quality of services, such as disaster resilient systems, Internet of things (IoT), power sensor networks, age of information (AoI), wireless networks, and so on. There are a wide variety of applications using UAV and wireless communication, and some of these standards and applications are addressed in this book. Chapter 1 presents a suitable solution for UAVs with reference to channel tracking and equalization to address the inter-symbol interference (ISI) stemming from multi-path propagation and the time-varying nature of the radio channel due to Doppler shifts. UAVs are considered to be working as a base station and the uplink communication is considered from mobile terminal to base station. The doubly selective UAV channel demands single-carrier modulations combined with frequency-domain equalization (SC-FDE). A detailed interpretation of SCFDE is presented in this chapter. A low-complexity iterative frequency-domain equalizer based on the iterative block decision-feedback equalization (IB-DFE) and the tracking procedure is conducted by an extended Kalman filter (EKF) to attain equalization. An efficient frame structure is designed in this chapter, which is suitable for UAV communications that help in reducing channel estimation overheads. Decision-directed approach helps in further reducing channel estimation overheads. These proposed systems are very efficient for fast varying channels due to the very low density of training symbols. Only two consecutive training symbols overheads are needed to initialize the tracking procedure. These schemes help in reducing overall latency and channel estimation overheads. The employment of these approaches helps in tracking the channel variation along with limiting the number transmitted blocks. The presence of EKF in the equalization for decisionmaking produces new channel estimates recursively.