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Improving performance of fading channel simulators by use of Uniformly distributed Random Numbers
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Radio Systems Laboratory (RS Lab).ORCID iD: 0000-0001-9697-9978
KTH, School of Information and Communication Technology (ICT), Electronic Systems.ORCID iD: 0000-0003-0565-9376
2011 (English)In: 2010 IEEE International Symposium on Signal Processing and Information Technology, 2011, 91-96 p.Conference paper, Published paper (Refereed)
Abstract [en]

Filter-based fading channel simulators universally use White Gaussian Noise (WGN) to generate complex tap coefficients. In this work, we will show that replacing WGN source by Uniform Random Number Generator (URNG) results in improved simulation speed in case of software simulator; and reduced area/power in case of hardware simulator. We will verify, both analytically and through extensive simulations, that use of URNG does not cause any degradation in important simulator performance parameters like statistical properties, spectral shape, level crossing rate and bit error rate. To validate our analysis, we have designed fading channel simulators both in software and hardware. We will show that use of URNG causes 6 percent improvement in simulation time in case of software simulator. Similarly, we will demonstrate that for a hardware simulator, we obtain an improvement of 30 and 40 percent in area and power consumption respectively.

Place, publisher, year, edition, pages
2011. 91-96 p.
Series
2010 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2010
Keyword [en]
Fading channel simulator, Radio channel models, Uniformly distributed Random Numbers, White Gaussian Noise, Extensive simulations, Fading channel simulators, Filter-based, Hardware simulators, Improving performance, Level crossing rates, Performance parameters, Power Consumption, Random number generators, Random Numbers, Simulation speed, Simulation time, Software simulator, Spectral shapes, Statistical properties, Bit error rate, Communication channels (information theory), Computer software, Gaussian distribution, Gaussian noise (electronic), Information technology, Number theory, Optical communication, Random number generation, Rayleigh fading, Signal processing, Simulators, White noise, Fading channels
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-151429DOI: 10.1109/ISSPIT.2010.5711731Scopus ID: 2-s2.0-79952410465ISBN: 9781424499908 (print)OAI: oai:DiVA.org:kth-151429DiVA: diva2:748932
Conference
10th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2010, 15 December 2010 through 18 December 2010, Luxor
Note

QC 20140922

Available from: 2014-09-22 Created: 2014-09-22 Last updated: 2014-09-22Bibliographically approved

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Ben Slimane, SlimaneHemani, Ahmed

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  • apa
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