Nakagami-K Composite Channel Model in Urban-Rural Conjunction Areas

With the speeding construction process of urbanization in china, the areas with the characteristic of typical urban-rural conjunction gradually increase. Since residential areas, factory areas, farmlands are scattered randomly, varied and complex wireless communication environment is formed. Considering the power wireless communication network planning demands and radio propagation predictions in urban-rural conjunction areas, this paper established a Nakagami-K composite channel model based on combination of the Nakagami distribution and Kdistribution. In this paper, we analyzed envelope distribution characteristics of the model, described the flowchart of the parameter estimation algorithm, and derived expressions of level crossing rate and average fading durations. We verified the validity and accuracy of the improved model according to the measured data and applied the improved model to Chongqing power wireless communication network planning and design. Keywords-component; nakagami-k distribution; composite channel model; nakagami distribution; k-distribution; urban-rural conjunction areas

[1]  Norman C. Beaulieu,et al.  Maximum-likelihood based estimation of the Nakagami m parameter , 2001, IEEE Communications Letters.

[2]  Ali Abdi,et al.  Performance comparison of three different estimators for the Nakagami m parameter using Monte Carlo simulation , 2000, IEEE Communications Letters.

[3]  Michel Daoud Yacoub,et al.  Level crossing rate of Nakagami-m fading signal: field trials and validation , 2000 .

[4]  Keith Q. T. Zhang.  A note on the estimation of Nakagami-m fading parameter , 2002, IEEE Communications Letters.

[5]  Ali Abdi,et al.  On the utility of gamma PDF in modeling shadow fading (slow fading) , 1999, 1999 IEEE 49th Vehicular Technology Conference (Cat. No.99CH36363).

[6]  Zhang Yi,et al.  On the statistical properties of Rician-K channels , 2012, Proceedings of 2012 2nd International Conference on Computer Science and Network Technology.

[7]  Feng Yongjiu,et al.  Investigating Landscape Fragmentation in Suburban Area Using Remote Sensing and Fragstats: A Case Study of Shanghai , 2012, 2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering.

[8]  E. Jakeman,et al.  Significance of K Distributions in Scattering Experiments , 1978 .

[9]  T. Aulin,et al.  Characteristics of a digital mobile radio channel , 1981, IEEE Transactions on Vehicular Technology.

[10]  Michael J. Collins,et al.  Modeling and Simulation of SAR Image Texture , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[11]  M. Yacoub,et al.  On higher order statistics of the Nakagami-m distribution , 1999 .