Propagation aspects of vehicle-to-vehicle communications - an overview

Vehicle-to-vehicle (VTV) wireless communications have many envisioned applications in traffic safety, congestion avoidance, etc., but the development of suitable communications systems and standards requires accurate models for the VTV propagation channel. This paper provides an overview of existing VTV channel measurement campaigns, describing the most important environments, and the delay spread and Doppler spreads obtained in them. Statistical as well as geometry-based channel models have been developed based on measurements and intuitive insights. A key characteristic of VTV channels is the nonstationarity of their statistics, which has major impact on the system performance. Extensive references are provided

Propagation channel measurement system development and channel characterization at 5.3 GHz

The wireless access has proven its usability for reliable communication and data conveying link for a long time. The ever growing usage of wireless communications systems has been driving the research to study even faster and more interference tolerant wireless solutions. A key concept towards achieving these goals are the detailed analysis and modeling of the propagation channel. In both of these aspects the availability of reliable measurement data is a prerequisite. This thesis concentrates on contributing to the measurement system development in single- and dual-link cases as well as measurement data analysis for specific wireless systems. In the first part of the thesis the physical radiowave propagation phenomena are briefly related to the challenges of the modern wireless communication systems. Through the analysis of the propagation channel conducted earlier in the literature, the main phenomena for modeling the propagation channel are illustrated, and the current modeling approaches are described. The hardware related design challenges are described along with the recent achievements in the measurement system development. Specifically, the design of antenna arrays for estimation of the parameters of the double directional channel model is illustrated. A measurement system developed for characterizing the double directional channel in the 5.3 GHz frequency range is presented along with the evaluation of the accuracy of the measurment system for the spatial characterization. The developed measurement system is further extended to enable simultaneous, double directional dual-link propagation channel measurements, and the first directional results from a measurement campaign are presented. In the second part, the important feature of the spatial dimensionality of the propagation channel is considered through measurement data acquired using the developed measurement system. The basics of the single- and dual-link MIMO communications systems and cooperative communications are presented. The analysis of the spatial domain used in MIMO communications systems is extended to multiuser scenario. Furthermore, cooperative communications system is analyzed

Directional propagation channel estimation and analysis in urban environment with panoramic photography

International audienceThis article aims to provide readers with a physical understanding of the propagation channel that is complementary to mathematical channel modeling. It presents an analysis of the directional propagation channel based on radiophotos. Radiophotos are graphical objects where directions of arrival are superimposed on three-dimensional (3D) panoramic photographs.The interaction between electro magnetic waves and the environment is immediately identified with these representations. This paper focuses on the direction of arrival at mobile in an urban macrocell environment. The first radiophoto collection illustrates the major propagation phenomena such as reflection, diffraction, or street canyoning. The second collection illustrates typical propagation channel profiles that are classified according to delay, azimuth, and elevation spread values. The paper also describes an original panorama-based method for estimating noise level in the azimuth–elevation domain