Cooperative spectrum sensing using quantized soft decision combining

Miia Mustonen, Marja Matinmikko, Aarne Mämmelä

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

32 Citations (Scopus)

Abstract

In this paper, a novel method combining cooperative spectrum sensing with quantized soft decision combining is introduced. In order to allow cognitive radios and cognitive networks to opportunistically use spectrum, it is a prerequisite that the license owner or primary user of the spectrum will not be harmfully interfered and the spectrum band will be vacated as soon as the primary user starts its own transmission. There are results indicating that the reliability of sensing information can be improved by exploiting the spatial dimension via cooperation between cognitive radios. Our approach is to further improve the reliability by sharing sensing information between cooperative radios using quantized soft decision combining. Simulations are conducted for the proposed two bit quantized soft decision combining, hard decision combining and nonquantized soft decision combining in an additive white Gaussian noise (AWGN) channel using Welch’s periodogram. Hard decision combining is considered with three different decision making rules and the obtained simulation results are verified with analytical performance results for Welch’s periodogram. The results show substantial improvement in the detection probability when sensing information between cooperating nodes is shared using two bits instead of one. By using an additional bit it is possible to reach detection probabilities that in hard decision combining would have required one or more additional cooperative users. The results also indicate that the increase in probability of detection is not as significant when full observation of the signal energy is shared between cooperative radios instead of two bits. Thus, almost all the achievable benefit from soft decision combining can be obtained with the proposed quantized soft decision combining
Original languageEnglish
Title of host publication2009 4th International Conference on Cognitive Radio Oriented Wireless Networks and Communications
Pages1-5
ISBN (Electronic)978-1-4244-3424-4
DOIs
Publication statusPublished - 2009
MoE publication typeA4 Article in a conference publication
Event4th International Conference on Cognitive Radio Oriented Wireless Networks and Communications - Hannover, Germany
Duration: 22 Jun 200924 Jun 2009
Conference number: 4

Conference

Conference4th International Conference on Cognitive Radio Oriented Wireless Networks and Communications
CountryGermany
CityHannover
Period22/06/0924/06/09

Fingerprint

Radio receivers
Cognitive radio
Decision making

Keywords

  • cognitive radio
  • AWGN
  • cooperative spectrum communications
  • additive white noise
  • decision making

Cite this

Mustonen, M., Matinmikko, M., & Mämmelä, A. (2009). Cooperative spectrum sensing using quantized soft decision combining. In 2009 4th International Conference on Cognitive Radio Oriented Wireless Networks and Communications (pp. 1-5) https://doi.org/10.1109/CROWNCOM.2009.5188980
Mustonen, Miia ; Matinmikko, Marja ; Mämmelä, Aarne. / Cooperative spectrum sensing using quantized soft decision combining. 2009 4th International Conference on Cognitive Radio Oriented Wireless Networks and Communications. 2009. pp. 1-5
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abstract = "In this paper, a novel method combining cooperative spectrum sensing with quantized soft decision combining is introduced. In order to allow cognitive radios and cognitive networks to opportunistically use spectrum, it is a prerequisite that the license owner or primary user of the spectrum will not be harmfully interfered and the spectrum band will be vacated as soon as the primary user starts its own transmission. There are results indicating that the reliability of sensing information can be improved by exploiting the spatial dimension via cooperation between cognitive radios. Our approach is to further improve the reliability by sharing sensing information between cooperative radios using quantized soft decision combining. Simulations are conducted for the proposed two bit quantized soft decision combining, hard decision combining and nonquantized soft decision combining in an additive white Gaussian noise (AWGN) channel using Welch’s periodogram. Hard decision combining is considered with three different decision making rules and the obtained simulation results are verified with analytical performance results for Welch’s periodogram. The results show substantial improvement in the detection probability when sensing information between cooperating nodes is shared using two bits instead of one. By using an additional bit it is possible to reach detection probabilities that in hard decision combining would have required one or more additional cooperative users. The results also indicate that the increase in probability of detection is not as significant when full observation of the signal energy is shared between cooperative radios instead of two bits. Thus, almost all the achievable benefit from soft decision combining can be obtained with the proposed quantized soft decision combining",
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Mustonen, M, Matinmikko, M & Mämmelä, A 2009, Cooperative spectrum sensing using quantized soft decision combining. in 2009 4th International Conference on Cognitive Radio Oriented Wireless Networks and Communications. pp. 1-5, 4th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, Hannover, Germany, 22/06/09. https://doi.org/10.1109/CROWNCOM.2009.5188980

Cooperative spectrum sensing using quantized soft decision combining. / Mustonen, Miia; Matinmikko, Marja; Mämmelä, Aarne.

2009 4th International Conference on Cognitive Radio Oriented Wireless Networks and Communications. 2009. p. 1-5.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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Mustonen M, Matinmikko M, Mämmelä A. Cooperative spectrum sensing using quantized soft decision combining. In 2009 4th International Conference on Cognitive Radio Oriented Wireless Networks and Communications. 2009. p. 1-5 https://doi.org/10.1109/CROWNCOM.2009.5188980