The Journal of Korea Institute of Information, Electronics, and Communication Technology (한국정보전자통신기술학회논문지)

Korea Information Electronic Communication Technology (한국정보전자통신기술학회)
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Hybrid Spectrum Sensing System for Machine-to-Machine(M2M)

사물지능통신(M2M)을 위한 하이브리드 스펙트럼 센싱 시스템

  • Kim, Nam-Sun (Department of Electrical, Electronic and Communication, Daejin University)
  • Received : 2017.04.11
  • Accepted : 2017.04.17
  • Published : 2017.04.30
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Abstract

This paper presents cluster based hybrid spectrum sensing system for M2M services. For each cluster, secondary nodes within the transmission radius of the primary node use hard decision method through local spectrum sensing to determine whether the primary node exists. And the other secondary nodes and the secondary nodes having poor radio channel conditions judge the existence of the primary node through the soft decision method of the values obtained by performing the cooperative spectrum sensing. In the proposed hybrid spectrum sensing system, the performance according to the number of secondary nodes is analyzed with the conventional system over Rayleigh fading channel. As the number of cooperative sensing users increased to 2, 3 and 4, the cluster error probability decreased to 0.5608, 0.5252 and 0.4001 at SNR of -10[dB] respectively. Since the proposed system uses less overhead traffic, it is found that it is more effective in terms of frequency usage than the conventional system using soft decision-soft decision and soft decision-hard decision methods.

본 논문에서는 M2M 서비스를 위한 클러스터 기반의 혼합 스펙트럼 센싱 시스템에 대하여 연구한다. 클러스터 내에서, 주 노드의 전송반경 이내의 부 노드들은 국부 스펙트럼 센싱을 통한 경판정 방법을 사용하여 주 노드의 존재 유무를 판단하며, 그 이외의 부 노드들과 무선 채널 환경이 좋지 않은 부 노드들은 협력 스펙트럼 센싱을 수행하여 얻은 값들을 연판정 방법을 통해 주사용자의 존재를 판단한다. 레일리 페이딩 채널하에서, 제안된 혼합 스펙트럼 센싱 시스템에서, 부 노드들의 수에 따른 성능을 기존 시스템과 분석한다. 협력 센싱을 수행하는 사용자의 수를 2, 3, 4로 증가함에 따라 클러스터 오류확률은 SNR이 -10[dB]에서 각각 0.5608, 0.5252, 0.4001으로 감소됨을 알 수 있었다. 제안된 시스템은 연판정-연판정, 연판정-경판정 방법을 사용하는 기존 시스템 보다 적은 오버헤드 트래픽을 사용하므로 주파수 이용 측면에서도 효과적임을 알 수 있었다.

Keywords

References

  1. K. Hyeong Jun,"Understanding of IoT Network,"Information and Communications Magazine, V. 27, pp. 21-28, 2010
  2. K. Hyungu, S. Iickho, B. Jinsoo, M. Hwangki and K. Dongjin, "A Novel Spectrum Sensing Scheme for Cognitive Radio with Receive Diversity: Performance Analysis in Non-Fading Channel," The Journal of Information, Electronics and Communication Techonology, Vol 3, No. 4, pp. 49-69, 2010
  3. N. Gosan, L. Sungmook, W. Hanho,"Study on Performance Evaluation of Energy- Constrained Open-Loop Cooperative Sensing in Cognitive Radios,"The Transactions of the Korean Institute of Electrical Engineers, Vol. 63, pp. 34-39, 2014 https://doi.org/10.5370/KIEEP.2014.63.1.034
  4. M. Subhedar and G. Birajdar,"Spectrum Sensing Techniques in Cognitive Radio Networks: A Survey," International Journal of Next-Generation Networks(IJNGN), Vol.3, No.2, June 2011.
  5. D. Teguig, B. Scheers, and V. Le Nir, "Data fusion schemes for cooperative spectrum sensing in cognitive radio networks, "Military Communications and Information Systems Conference (MCC) , pp. 1-7, 2012
  6. A. El-Saleh, M. Ismail, M. Ali, and I. Arka,"Hybrid SDF-HDF cluster-based fusion scheme for cooperative spectrum sensing in cognitive radio networks,"KSII Trans. on Internet and Information Systems, Vol. 4, No. 6, pp. 1023-1041, 2010. https://doi.org/10.3837/tiis.2010.12.003
  7. H. Du, Z. Wei and Y. Dacheng,"Hybrid Cooperative Spectrum Sensing Scheme Using Double-Fusion in Cognitive Radio Networks, "Journal of Computational Information Systems, Vol. 7, pp. 1500-1507, 2011
  8. N. T. Do and B. An, "A Soft-Hard Combination-Based Cooperative Spectrum Sensing Scheme for Cognitive Radio Networks," Sensors, vol. 15, pp. 4388-4407, 2015.
  9. A. Sungjun, S. Intae, L. Kwangeog and K. Joonhyuk,"A Hybrid combination scheme for cooperative spectrum sensing in ununiform SNR environment,"Proc. of the Korean Institute of Communication Sciences Conference, Vol. 2015, No. 11, pp. 575-576
  10. Eunah Cho, On Optimum Sensing Time over Fading Channels of Cognitive Radio System, Master's thesis, AALTO UNIVERSITY, October, 2010
  11. K. Hyung Seo and K. In Soo, "A Robust Spectrum Sensing Method Based on Localization in Cognitive Radios," Journal of Internet Computing and Services, Vol.12, No.1, pp. 1-10, 2011