An autoregressive approach for spectrum occupancy modeling and prediction based on synchronous measurements

Ali Gorcin, Hasari Celebi, Khalid Qaraqe, Huseyin Arslan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

22 Citations (Scopus)

Abstract

Inefficient spectrum usage is a crucial issue in wireless communications and methods for dynamic spectrum access are proposed based on spectrum sensing methodology of the cognitive radio systems. Beside the detection and estimation methods, spectrum sensing procedures can also benefit from the modeling and prediction of the wireless spectrum usage. Markovian, regressive and other approaches are introduced for time or frequency domain channel modeling however, the research on the spectrum allocation methods indicates that location information has also an important influence on the spectrum occupancy characterization. In this paper, linear autoregressive prediction approach for binary time series is employed to investigate channel occupancy prediction performance based on spectrum measurements conducted in four different locations synchronously. Through the modeling procedure, dependency in frequency domain is also taken into consideration by modeling the adjacent frequency bands together. The model order is selected based on mean residual magnitudes and Akaike information criterion, mode order parameters are tabulated, and comparative prediction analysis considering the observation time is given for each location. The performance of the proposed linear modeling method is also compared with continuous-time Markov chain modeling in one of the locations.

Original languageEnglish
Title of host publication2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'11
Pages705-709
Number of pages5
DOIs
Publication statusPublished - 2011
Event2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'11 - Toronto, ON, Canada
Duration: 11 Sep 201114 Sep 2011

Other

Other2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'11
CountryCanada
CityToronto, ON
Period11/9/1114/9/11

Fingerprint

Radio systems
Cognitive radio
Markov processes
Frequency bands
Time series
Communication

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Gorcin, A., Celebi, H., Qaraqe, K., & Arslan, H. (2011). An autoregressive approach for spectrum occupancy modeling and prediction based on synchronous measurements. In 2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'11 (pp. 705-709). [6140056] https://doi.org/10.1109/PIMRC.2011.6140056

An autoregressive approach for spectrum occupancy modeling and prediction based on synchronous measurements. / Gorcin, Ali; Celebi, Hasari; Qaraqe, Khalid; Arslan, Huseyin.

2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'11. 2011. p. 705-709 6140056.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Gorcin, A, Celebi, H, Qaraqe, K & Arslan, H 2011, An autoregressive approach for spectrum occupancy modeling and prediction based on synchronous measurements. in 2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'11., 6140056, pp. 705-709, 2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'11, Toronto, ON, Canada, 11/9/11. https://doi.org/10.1109/PIMRC.2011.6140056
Gorcin A, Celebi H, Qaraqe K, Arslan H. An autoregressive approach for spectrum occupancy modeling and prediction based on synchronous measurements. In 2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'11. 2011. p. 705-709. 6140056 https://doi.org/10.1109/PIMRC.2011.6140056
Gorcin, Ali ; Celebi, Hasari ; Qaraqe, Khalid ; Arslan, Huseyin. / An autoregressive approach for spectrum occupancy modeling and prediction based on synchronous measurements. 2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'11. 2011. pp. 705-709
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