융합신호처리학회논문지 (Journal of the Institute of Convergence Signal Processing)

한국융합신호처리학회 (The Korea Institute of Convergence Signal Processing)
권호 표지

인지 무선 통신 환경에서 임의접속 기법의 전송 효율 분석

Performance Evaluation of Random Access in Cognitive Radios

  • 투고 : 2012.02.27
  • 심사 : 2012.08.01
  • 발행 : 2012.07.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

임의 접속(random access) 프로토콜은 기본적으로 센싱 기능을 가지고 있으며, 이것을 이용하여 분산형 무선 네트워크 시스템 구축에 적합한 특징을 가지고 있다. 이러한 기술적 특징은 중앙식 제어(centralized control)가 어려운 이기종 시스템들이 동작하는 인지 무선 통신 환경에 대하여 장점을 가지며, 인지 무선 통신 환경에서 임의 접속의 성능을 검증해 보아야 한다는 동기를 제공한다. 이 논문에서 우리는 인지 무선 통신 환경에서 CSMA/CA(carrier-sensing multiple access with collision avoidance)기법을 도입하고, 성능을 분석하는 기본 틀을 제공한다.

Random access protocol takes advantage of constructing a decentralized wireless network due to its intrinsic spectrum sensing capability. Such technical feature goes well with cognitive radio networks consisting of heterogeneous wireless systems, in which a centralized control between heterogeneous wireless systems is hard to be implemented. Motivated by the decentralized feature of the random access, we adopt the random access protocol in cognitive radio networks, and evaluate the performance of a CSMA-based cognitive radio network.

키워드

참고문헌

  1. Federal Communications Commission, Spectrum policy task force report, (ET Docket No. 02-135), Nov. 2002. [Online.] Available: hraunfoss.fcc.gov/edocspublic/attachmatch/DOC-228542A1.pdf.
  2. D. Cabric, S. M. Mishra, and R. W. Brodersen, Implementation issues in spectrum sensing for cognitive radios, in Proc. Asilomar Conference on Signal, Systems and Computers, Nov. 2004.
  3. J. Lunden, V. Koivunen, A. Huttenen, H. V. Poor, "Collaborative cyclostationary spectrum sensing for cognitive radio systems," IEEE Trans. Signal Processing, vol.57, no.11, pp. 4182-4195, Nov. 2009. https://doi.org/10.1109/TSP.2009.2025152
  4. R. Ahuja, R. Corke, and A. Bok, "Cognitive radio system using IEEE 802.11a over UHF TVWS,", in Proc. 3rd IEEE Int. Symp. on New Frontiers in Dynamic Spectrum Aceess Networks (DySPAN), pp. 1-9, Oct. 2008.
  5. S. Lien, C. Tseng, and K. Chen, "Carrier sensing-based multiple access protocols for cognitive radio networks," in Proc. IEEE International Conference on Communications (ICC 2008), pp. 3208-3214, May. 2008.
  6. A. Hsu, D. Weit, and C. Cuo, "A cognitive MAC protocol using statistical channel allocation for wireless ad-hoc networks," in Proc. Wireless Communications and Networking Conference (WCNC 2007), pp. 105-110, Mar. 2007.
  7. A. Hoang, D. Wong, and Y. -C. Liang, "Design and analysis for an 802.11-based cognitive radio network," in Proc. Wireless Communications and Networking Conference (WCNC 2009), pp. 1-6, Apr. 2009.
  8. S. Geirhofer, L. Tong and B. M. Sadler, "Cognitive radios for dynamic spectrum access in time domain: modeling and exploiting white space," IEEE Commun. Mag., vol. 45, no. 5, pp. 66-72, May 2007.
  9. G. Bianchi, "Performance analysis of the IEEE 802.11 distributed coordination function," IEEE J. Sel. Areas Commun., vol. 18, no 3, pp. 535 -547, Mar. 2000.
  10. F. Cali, M. Conti, and E. Gregori, "Dynamic tuning of the IEEE 802.11 protocol to achieve a theoretical throughput limit," IEEE/ACM Trans. Networks, vol. 8, no. 6, pp. 1604-1613, Dec. 2000.
  11. P. Pillai, Probability, Random Variables and Stochastic Processes. McGraw Hill,second ed., 2002.