Journal of Advanced Navigation Technology (한국항행학회논문지)

The Korean Navigation Institute (한국항행학회)
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Optimal Spectrum Sensing Framework based on Estimated Miss Detection Probability for Aggregated Data Slots in Cognitive Radio Networks

무선 인지 네트워크에서 군집형 데이터 슬롯의 미검출 확률 추정에 기반한 최적 스펙트럼 센싱 구조

  • Wu, Hyuk (Information & Telecommunication Engineering, Korea Aerospace University) ;
  • Lee, Dong-Jun (Information & Telecommunication Engineering, Korea Aerospace University)
  • 우혁 (한국항공대학교 정보통신공학부) ;
  • 이동준 (한국항공대학교 정보통신공학부)
  • Received : 2013.08.24
  • Accepted : 2013.10.30
  • Published : 2013.10.30
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Abstract

In cognitive radio networks, several research works typically address the framework which consists of a spectrum sensing period and a data transmission period. When the frame period is short, there is the problem that the throughput of secondary users decrease. In this paper, aggregated data slot structure is considered to increase the throughput of secondary users. Chapman-Kolmogorov equation is used for the modeling of the transmission probability of primary users and formulation of an optimization problem to maximize the throughput of secondary users. Solution of the optimization problem results in the optimal spectrum sensing time, the length of data slot and the number of data slots governed by a spectrum sensing.

무선 인지 네트워크의 많은 연구는 한 번의 스펙트럼 센싱 수행으로 한 개의 데이터 슬롯을 전송하는 프레임 구조에 대하여 연구하였다. 프레임 길이가 짧은 경우, 데이터 전송률이 낮아지는 문제가 있다. 본 논문에서는 한 번의 스펙트럼 센싱 수행으로 다수의 데이터 슬롯을 전송하는 군집형 데이터 슬롯 구조에 대해서 연구한다. 이를 위해서 Chapman-Kolmogorov 방정식을 이용하여 선순위 사용자의 전송 확률을 모델링하고 이를 이용하여 후순위 사용자의 전송률을 최대화하기 위한 최적화 문제를 제시한다. 최적화 문제의 해를 구하여 최적의 스펙트럼 센싱 시간과 데이터 슬롯의 길이와 군집할 데이터 슬롯의 수를 도출한다.

Keywords

References

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