Worldwide Interoperability for Microwave Access (WiMAX) is the latest broadband wireless technology for terrestrial broadcast services in Metropolitan Area Networks (MANs). WiMAX has potential success in its line-ofsight (LOS) and non line-of-sight (NLOS) conditions which operating below 11 GHz frequency. Estimation of path loss is very important in initial deployment of wireless network and ce...

To implement a mobile radio system, wave propagation models are necessary to determine propagation characteristics for any arbitrary installation. The predictions are required for a proper coverage planning, the determination of multipath effects as well as for interference and cell calculations, which are the basis for the high-level network planning process. In a GSM/DCS-system the high-level...

ABOUT THE AUTHOR. Zesheng Chen is currently a Ph.D. Candidate in the Communication Networks and Machine Learning Group at the School of Electrical and Computer Engineering, Georgia Institute of Technology, advised by Professor Chuanyi Ji. Chen’s research interests focus on network security, especially modeling the spread of malware on networks, the performance of distributed detection systems, ...

The availability of reliable models of computer virus propagation would prove useful in a number of ways, in order both to predict future threats, and to develop new containment measures. In this paper, we review the most popular models of virus propagation, analyzing the underlying assumptions of each of them, their strengths and their weaknesses. We also introduce a new model, which extends t...

This paper identifies certain interesting mathematical problems of stochastic quantization type in the modeling Laser propagation through turbulent media. In some typical physical contexts, problem reduces to Schrödinger equation with space–time white noise Gaussian or Poisson Lévy type. We identify their resolution via quantization. Nonlinear phenomena such as Kerr effect can be modeled by a n...

Abstract Spatially explicit estimates of population density, together with appropriate uncertainty, are required in many management contexts. Density surface models (DSMs) a two-stage approach for estimating spatially varying density from distance sampling data. First, detection probabilities—perhaps depending on covariates—are estimated based details individual encounters; next, local densitie...