Channel Fading Effect Analysis on Diffusion Cooperation Strategies over Adaptive Networks

• Jie Yang,
• Ehsan Mostafapour,
• Amir Aminfar,
• Jie Wang,
• Hao Huang,
• Afsaneh Akhbari,

Vol. 13, No. 1, January 31, 2019
10.3837/tiis.2019.01.010, Download Paper (Free):

• Adaptive distributed networks
• diffusion strategy
• fading coefficients
• least mean square (LMS) algorithm
• Rician model

Abstract

In this paper, we investigate the performance of the diffusion adaptation strategies for parameter estimation in wireless adaptive networks, where the nodes exchange information over noisy and fading wireless channels. This paper shows the differences between the effect of Rayleigh and Rician fading over wireless adaptive networks and proves that the Rician fading is a more practical model in such kinds of networks. Simulation results imply that the effect of Rayleigh fading is more degrading for the estimation process than Rician fading. Also, the simulation results show the performance of adapt then combine (ATC) diffusion algorithm is better than the combine then adapt (CTA) algorithm by merely considering noise in wireless channels. While the performance of CTA prevails ATC over the wireless adaptive network in the presence of noise plus channel fading.

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