Stochastic Methods and their Applications to Communications

Divided into two parts, theoretical and practical, this original volume deals with the modelling and numerical simulation of non-Gaussian processes which are often encountered throughout the field of communications and other applied areas. Stochastic differential equations are used and the authors explain how to use such models for the evaluation of communication systems. The suggested approach allows the modelling of non-Gaussian phenomena to be used in order to obtain a number of analytical results, numerical simulation and generality. Featuring applications that provide a wealth of key practical examples which have been developed such as fading channel simulator and data traffic simulators. Key features: * Few books deal with the numerical solution of stochastic differential equations applied to communication systems. * Bridges the gap and establishes the connections between some difficult mathematical aspects of stochastic differential applications and various communication engineering applications. * Presents a classical approach - begins with the mathematics and progresses through to applications. * Highly illustrated and contains numerous practical examples.