Enhanced descriptions from Syndetics:

Mobile Channel Characteristics introduces the principal transmission phenomena of mobile and personal communication - the ones that affect design of modems, channel simulators, smart antennas, and other system components at the physical level. It is designed to be accessible to senior undergraduates, as well as graduate students and working engineers. The treatment parallels mathematical derivations with intuitive explanations and simple approximations in order to develop the reader's understanding of the phenomena. Because of this strong tutorial flavor, the text is also suitable for those entering the area from a different academic discipline. Mobile Channel Characteristics was conceived and written as an interactive text to be viewed on a computer screen. It includes many features not found in conventional texts: The entire text resides on your hard drive. It is always ready, just a mouse-click away; It is a live document. Try different parameter values, and the equations, tables and graphs recalculate as you watch. Animated graphics illustrate dynamics of the channel. Explore propagation, modulation or system models interactively to gain additional insight; The examples and appendices are `tear-off design sheets'. You can use their programs on the job or in your thesis to speed up your work; It links you to the world. Hyperlinks connect you to websites of cited authors, to online research journals, and to employers and graduate schools, all through the Internet. Mobile Channel Characteristics includes working programs for three different methods of channel gain generation for fading channel simulation, as well as working programs to illustrate their use. Mobile Channel Characteristics is an essential reference tool for practising engineers, researchers, academics, and students. It is a self-study text equally suited for classroom use.

Table of contents provided by Syndetics

• 1. Path Loss (p. 1)
• 1.1 Plane earth model and inverse fourth power (p. 2)
• 1.2 Implications for cellular design (p. 5)
• 1.1A Detailed derivation of inverse fourth power (p. 11)
• 2. Shadowing (p. 15)
• 2.1 Statistical model of shadowing (p. 16)
• 2.2 Shadowing and system design (p. 19)
• 3. Fading and Delay Spread (p. 23)
• 3.1 Physical basis of fading (p. 25)
• 3.2 Mathematical model of fading (p. 28)
• 3.3 Consequences: Doppler spread, delay spread and time-variant filtering (p. 31)
• 3.4 Is it Flat or Frequency Selective? An Example (p. 36)
• 4. First Order Statistics of Fading (p. 39)
• 4.1 Gaussian models in time and frequency (p. 41)
• 4.2 Rayleigh and Rice fading (p. 44)
• 4.3 Consequences for BER (p. 51)
• 4.4 Connecting Fading, Shadowing and Path Loss (p. 54)
• 5. Second Order Statistics of Fading (p. 59)
• 5.1 Doppler spectrum and WSS channels (p. 61)
• 5.2 Power delay profile and US channels (p. 69)
• 5.3 Scattering function and WSSUS channels (p. 77)
• 5.4 A TDL channel model for analysis and simulation (p. 84)
• 6. Connecting Fading Statistics With Performance (p. 91)
• 6.1 Random FM and error floor (p. 92)
• 6.2 Level crossing rate and error bursts (p. 98)
• 7. A Gallery of Channels (p. 105)
• 7.1 Macrocells (p. 106)
• 7.2 Urban microcells (p. 110)
• 7.3 Indoor picocells (p. 113)
• 8. Differences between mobile and base station correlations (p. 115)
• 8.1 Directionality at the mobile - Doppler spread (p. 116)
• 8.2 Directionality at the mobile - delay spread (p. 124)
• 8.3 Angular dispersion and directionality at the base (p. 126)
• 9. Simulating Fading Channels (p. 137)
• 9.1 Sampling and SNR (p. 138)
• 9.2 Complex gain generation (p. 145)
• 9.3 Importance sampling (p. 148)
• 9.3A Effect of [beta] on variance in importance sampling (p. 157)
• Appendix A The Lognormal Distribution (p. 161)
• Appendix B A Jakes-Like Method of Complex Gain Generation (p. 165)
• Appendix C Visualization of a Random Standing Wave (p. 175)
• Appendix D Animation of Complex Gain, Fading and Random FM (p. 177)
• Appendix E Animation of Time Varving Frequency and Impulse Responses (p. 181)
• Appendix F Joint Second Order Statistics (p. 185)
• Appendix G Joint Probability Density Functions in Polar Coordinates (p. 191)
• Appendix H Generation of Complex Gain for Importance Sampling (p. 197)
• Appendix I Linear Time Variant Filters (p. 201)
• Appendix J Is the Channel Really Gaussian? An Experiment (p. 205)
• Appendix K The FFT and Overlap-Add Method of Complex Gain Generation (p. 209)
• References (p. 217)
• Index of Topics (p. 223)