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http://dx.doi.org/10.5392/JKCA.2014.14.09.589

Measurement of Spectrum Utilization Efficiency Considering Spectrum Sharing  

Kim, Taehan (한국전자통신연구원 창의미래연구소)
Park, Hyun-Min (배재대학교 경영학과)
Sung, Ki Won (스웨덴 왕립공대 통신시스템학과)
Publication Information
Abstract
The increasing demand for various mobile telecommunication services calls for more spectrum resource. Considering the scarcity of spectrum resource and the difficulties of development of higher frequency band, the unique way to meet the increasing demand is to maximize the utilization efficiency of the current spectrum resource. Under the circumstances, various spectrum sharing plans have been in recent studies to dissolve the excess spectrum demand. In addition, spectrum efficiency measurement methods become more important to verify the effectiveness of spectrum sharing and estimate the performance of various wireless systems. Our research addresses measurement methods to estimate spectrum utilization efficiency in a rational manner. Based on ITU-R recommendations, various measuring methods for spectrum utilization efficiency are reviewed. Then a queueing based approach is newly presented as alternatives to the current models. By using the proposed model, the spectrum efficiency increment with the adoption of spectrum sharing plans can be estimated more properly.
Keywords
Spectrum Resource; Utilization Efficiency; Spectrum Sharing; Queueing Model;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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1 J. W. Burns, "Measuring spectrum efficiency - the art of spectrum utilization metrics," In paper presented at the IEEE conference 24-5, 2002.
2 President's Council of Advisors on Science and Technology, Report to the president: realizing the full potential of government-held spectrum to spur economic growth, 2012.
3 K. Kim, "T-preemptive priority queue and its application to the analysis of and opportunistic spectrum access in cognitive radio networks," Computers and Operations Research, Vol.39, No.7, pp.1394-1401, 2012.   DOI   ScienceOn
4 Recommendation ITU-R SM.1046-2, Definition of spectrum use and efficiency of a radio system, 2006.
5 H-P, Shiang, M. van der Schaar, "Queueing-based dynamic channel selection for heterogeneous multimedia applications over cognitive radio networks," IEEE transactions on multimedia Vol.10, No.5, pp.896-909, 2008.   DOI   ScienceOn
6 I. Suliman and J. Lehtomaki, "Queueing analysis of opportunistic access in cognitive radios," International workshop on cognitive radio and advanced spectrum management, pp.153-157, 2009.
7 H. Tran, T. Q. Duong, and H. J. Zepernick, "Average waiting time of packets with different priorities on cognitive radio networks," IEEE International symposium on wireless pervasive computing, pp.122-127, 2010.
8 C. Zhang, X. Wang, and J. Li "Cooperative cognitive radio with priority queueing analysis," IEEE International conference on communications, pp.1-5, 2009.
9 김주석, 이현소, 황성호, 민준기, 김기홍, 김경석, "Cognitive Radio 기반의 Spectrum Sensing을 위한 MAC 기능 구현", 한국콘텐츠학회논문지, 제8권, 제8호, pp.28-36, 2008.   과학기술학회마을   DOI   ScienceOn
10 김창주, "Cognitive Radio 기술 동향", 전자통신동향분석, 제21권, 제4호, pp.62-69, 2006.   과학기술학회마을
11 이광의, 노철우, 김경민, "인지 라디오의 채널할당 모델 설계 및 분석", 한국콘텐츠학회논문지, 제9권, 제7호, pp.95-101, 2009.   과학기술학회마을   DOI   ScienceOn
12 여재현, 임동민, 이일주, 주파수 공유기술 적용을 위한 전파관리 모형연구, 정보통신정책연구원, 2009.
13 이호우, 대기행렬이론: 확률과정론적 분석, 시그마프레스, 2006.
14 Cisco Inc., Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2013-2018, Cisco Pub, 2014.