radio wave propagation book and lecture notes

It is on water waves, with special emphasis on old and new results for waves on a sloping beach. The main content is an entirely new presentation. In essence, the availability of these data will facilitate the development of path loss models for efficient radio network planning and optimization in smart campus environment. and are abbreviated versions of topics in my book Linear and nonlinear waves, which can be consulted for amplication. For ease of reuse, the comprehensive data are prepared in Microsoft Excel spreadsheet and attached to this data article.

In addition, correlation analyses are performed to understand the relationships between the network parameters and the terrain information. Results of the first-order descriptive statistics and the frequency distributions of all the seven parameters are presented in tables and graphs respectively. Also, the longitude, latitude, elevation, altitude, clutter height, and the distance information, which describes the smart campus environment, are obtained from Digital Terrain Map (DTM) in ATOLL radio network planning tool. Extensive drive test measurements are performed along three different routes (X, Y, and Z) within Covenant University, Ota, Ogun State, Nigeria (Latitude 6☄0′30.3″N, Longitude 3☀9′46.3″E) to record path loss data as the mobile receiver moves away from each of the three 1800 MHz base station transmitters involved.

In this data article, the path loss data and the corresponding information that are needed for modeling radio wave propagation in smart campus environment are presented and analyzed. Therefore, efficient radio network planning and optimization requires detailed information about the specific propagation environment. Motivation Block diagram of a radio Signal Propagation Large scale path loss Small scale fading Interesting link measurement observations Implications of protocol design. However, the propagation mechanisms of electromagnetic waves depend on the physical characteristics of the wireless channel. Path loss models are often used by radio network engineers to predict signal coverage, optimize limited network resources, and perform interference feasibility studies.

Radio wave propagation book and lecture notes