Please use this identifier to cite or link to this item:
|Title:||Statistical Modeling of Local Area Fading Channels Based on Triply Stochastic Filtered Marked Poisson Point Processes||Authors:||Daba, Jihad S.||Affiliations:||Department of Electrical Engineering||Keywords:||Cellular communication
Femto- and pico-cells
Stochastically local area fading channel
Triply stochastic filtered marked Poisson point process
|Issue Date:||2015||Part of:||International journal of electronics and communication engineering||Volume:||9||Issue:||7||Start page:||726||End page:||731||Abstract:||
Fading noise degrades the performance of cellular communication, most notably in femto- and pico-cells in 3G and 4G systems. When the wireless channel consists of a small number of scattering paths, the statistics of fading noise is not analytically tractable and poses a serious challenge to developing closed canonical forms that can be analysed and used in the design of efficient and optimal receivers. In this context, noise is multiplicative and is referred to as stochastically local fading. In many analytical investigation of multiplicative noise, the exponential or Gamma statistics are invoked. More recent advances by the author of this paper utilized a Poisson modulated-weighted generalized Laguerre polynomials with controlling parameters and uncorrelated noise assumptions. In this paper, we investigate the statistics of multidiversity stochastically local area fading channel when the channel consists of randomly distributed Rayleigh and Rician scattering centers with a coherent Nakagami-distributed line of sight component and an underlying doubly stochastic Poisson process driven by a lognormal intensity. These combined statistics form a unifying triply stochastic filtered marked Poisson point process model.
|Appears in Collections:||Department of Electrical Engineering|
Show full item record
checked on May 8, 2021
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.