Testbed Implementation of a Scalable ARIMA Model for Spectrum Estimation in Cognitive Radio-A Null Hypothesis Approach

Abstract

A two-stage data-driven Spectrum Estimation (SE) technique has been introduced for a Cognitive Radio (CR) system involving Null-Hypothesis approach using robust Chi-Square Goodness of Fit (GoF) for confirmation of the desired signal. Development of optimized scalable ARIMA model concerning data length, lag order and AIC-BIC for frugal SE with minimum response time has been the main contribution. The implementation of the model and subsequent validation have been performed in WARP testbed with an optimized data length of only 250 in ARIMA (3,1,2) model. A response time of 6.25$\mu \mathrm{S}$ provides an improvement in peak PSD from existing −40 dB to +45 dB.

KEYWORDS:

• AIC-BIC
• ARIMA
• Chi-square test
• Null-hypothesis
• Spectrum estimation
• Variance analysis
• WARP board

Additional information

Notes on contributors

Debashis Chakraborty

Debashis Chakraborty obtained his BE degree in electronics engineering from Nagpur University in the year 2001 and successively received the master’s degree with a specialization in embedded system from the West Bengal University of Technology in 2007. Presently, he is an associate professor in the Department of ECE of Future Institute of Engineering and Management since 2005. His research interest is spectrum estimation using time series data analysis and statistical signal processing. He has published few journal papers and book chapters in the Springer Lecture Note series. He has also presented many papers in national and international conferences organized by IEEE societies. Corresponding author. Email: [email protected]

Salil Kumar Sanyal

Salil Kumar Sanyal obtained BE Tel E, ME Tel E, and PhD (Engineering) degrees in 1977, 1979, and 1990, respectively all from Jadavpur University, Kolkata, India. He joined the Department of Electronics and Telecommunication Engineering, Jadavpur University in 1982 as lecturer. He became the professor in the same Department in 2003. He was also the Head of the same Department during 2007–2009. Dr Sanyal has to his credit about 220 research papers published in international/national journals of repute and prestigious conferences proceedings. His current research interests include wireless communication, VLSI architecture for complex binary number system, signal processing for spectrum estimation with time-series data, and antenna beam-forming. He was the Track Chair of Communication Engineering in the International IEEE Region 10 Symposium, in June 2019 and IEEE National Conference in February 2020 held at Kolkata. Email: [email protected]