Integrated wireless propagation models

"Fully integrated solutions for managing wireless network coverage, capacity, and costs. Cowritten by Dr. William C. Y. Lee, one of the original pioneers of wireless technology at Bell Labs, this in-depth guide presents accurate, efficient propagation prediction models to meet the growing demands of next-generation wireless networks. All relevant factors, including terrain, atmospheric conditions, buildings, antenna height, indoor environments, and more, are considered. Integrated Wireless Propagation Models discusses popular prediction models and provides complete details on the Lee macrocell, microcell, and in-building models. The final chapter ties the three Lee models together to produce an integrated Lee model that can be applied to all mobile environments. Throughout the book, complex mathematical models are translated into practical, easy-to-implement solutions."

A. About the authors -- B. Preface -- C. Acknowledgments -- 1. Introduction to modeling mobile signals in wireless communications -- Why write this book? -- Differences between free space communications and mobile communications in propagation -- Treatment of mobile signals -- History of developing the lee model -- Basic system operations -- Mobile radio signal: fading signal -- Co-channel interference created from the frequency reuse scheme -- Propagation fading models -- Three basic propagation mechanisms -- Applications of the prediction models -- Summary -- References -- Additional references -- 2. Macrocell prediction models -- part 1: area-to-area models -- Free space loss -- Plane earth model -- Young model -- Bullington monograms -- Egli model -- one of the clutter factor models -- The jrc method -- Terrain-integrated rough-earth model -- Carey model -- Ccir model -- Blomquist-ladell and edwards-durkin models -- Ibrahim-parsons model -- Okumara-hata and the cost 231 hata models -- Walfisch-bertoni model -- Ikegami model -- Walfisch-ikegami model -- Flat-edge model -- Itu model -- On-body model -- Summary -- References -- 3. Macrocell prediction models -- part 2: point-to-p…