An Ergodic Sum-of-Cisoids Simulator for Multiple Uncorrelated Rayleigh Fading Channels Under Generalized Scattering Conditions

In this paper, we present a new method for the design of ergodic sum-of-sinusoids (SOS) simulators for multiple uncorrelated narrowband Rayleigh fading channels. The method, which is intended for a special class of SOS models known as sum-of-cisoids (SOC) models, enables the generation of an unlimited number of mutually uncorrelated Rayleigh fading waveforms with specified autocorrelation properties. This is in contrast to all known methods proposed for SOS simulators, which are restricted to the simulation of multiple uncorrelated Rayleigh fading channels characterized by autocorrelation functions (ACFs) derived under the isotropic scattering assumption. The excellent performance of this new method is exemplarily demonstrated by comparing the correlation properties and the envelope distribution of a set of waveforms generated by the simulator with the corresponding quantities of a reference set of multiple uncorrelated Rayleigh fading channels. The method's performance is evaluated in not only theoretical simulation scenarios, where the lengths of the generated waveforms approach infinity, but also practical scenarios, where the waveform lengths are limited. The simulation approach described in this paper is important to the performance analysis of mobile broadband communication systems using diversity, multicarrier, or multiple-input-multiple-output (MIMO) techniques under generalized scattering conditions.

[1]  Xiaojing Huang,et al.  The simulation of independent Rayleigh faders , 2002, IEEE Trans. Commun..

[2]  Carlos A. Gutierrez,et al.  Channel simulation models for mobile broadband communication systems , 2009 .

[3]  Matthias Pätzold,et al.  A New Design Concept for High-Performance Fading Channel Simulators Using Set Partitioning , 2007, Wirel. Pers. Commun..

[4]  Hiroyuki Kawai,et al.  Experiments on real-time 1-Gb/s packet transmission using MLD-based signal detection in MIMO-OFDM broadband radio access , 2006, IEEE Journal on Selected Areas in Communications.

[5]  Christian Lüders,et al.  Mobile Radio Channels , 2006 .

[6]  Geoffrey Ye Li,et al.  MIMO-OFDM for wireless communications: signal detection with enhanced channel estimation , 2002, IEEE Trans. Commun..

[7]  Matthias Patzold,et al.  A generalized method for the design of ergodic sum-of-cisoids simulators for multiple uncorrelated rayleigh fading channels , 2010, 2010 4th International Conference on Signal Processing and Communication Systems.

[8]  Matthias Pätzold,et al.  Exact Closed-Form Expressions for the Distribution, the Level-Crossing Rate, and the Average Duration of Fades of the Capacity of OSTBC-MIMO Channels , 2009, IEEE Transactions on Vehicular Technology.

[9]  David R. Kincaid,et al.  Numerical mathematics and computing , 1980 .

[10]  Quan Xu,et al.  An Improved SoS Method for Generating Multiple Uncorrelated Rayleigh Fading Waveforms , 2010, IEEE Communications Letters.

[11]  Matthias Pätzold,et al.  Two new sum-of-sinusoids-based methods for the efficient generation of multiple uncorrelated rayleigh fading waveforms , 2009, IEEE Transactions on Wireless Communications.

[12]  Bruce F. Cockburn,et al.  An FPGA-Based Simulator for High Path Count Rayleigh and Rician Fading , 2010, IEEE Transactions on Vehicular Technology.

[13]  J. E. Glynn,et al.  Numerical Recipes: The Art of Scientific Computing , 1989 .

[14]  T. Abrao,et al.  Statistically correct simulation models for the generation of multiple uncorrelated Rayleigh fading waveforms , 2004, Eighth IEEE International Symposium on Spread Spectrum Techniques and Applications - Programme and Book of Abstracts (IEEE Cat. No.04TH8738).

[15]  Matthias Pätzold Mobile Radio Channels: Pätzold/Mobile Radio Channels , 2011 .

[16]  Xiang Cheng,et al.  An adaptive geometry-based stochastic model for non-isotropic MIMO mobile-to-mobile channels , 2009, IEEE Transactions on Wireless Communications.

[17]  Fernando Perez Fontan,et al.  Modelling the Wireless Propagation Channel: A simulation approach with MATLAB , 2008 .

[18]  S. Rice Mathematical analysis of random noise , 1944 .

[19]  Gordon L. Stüber,et al.  Efficient simulation of rayleigh fading with enhanced de-correlation properties , 2006, IEEE Transactions on Wireless Communications.

[20]  Dongfeng Yuan,et al.  An Improved Deterministic SoS Channel Simulator for Multiple Uncorrelated Rayleigh Fading Channels , 2008, IEEE Transactions on Wireless Communications.

[21]  Zhongli Wu Model of independent Rayleigh faders , 2004 .

[22]  Carlos A. Gutiérrez-Díaz-de-León,et al.  The design of sum-of-cisoids rayleigh fading channel simulators assuming non-isotropic scattering conditions , 2010, IEEE Trans. Wirel. Commun..

[23]  Ali Abdi,et al.  A parametric model for the distribution of the angle of arrival and the associated correlation function and power spectrum at the mobile station , 2002, IEEE Trans. Veh. Technol..