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학술지 Performance Analysis of Scheduled Cognitive Radio Systems with MIMO Transmission
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저자
이동훈, 정병장
발행일
201310
출처
IEEE Transactions on Vehicular Technology, v.62 no.8, pp.4088-4093
ISSN
0018-9545
출판사
IEEE
DOI
https://dx.doi.org/10.1109/TVT.2013.2260189
협약과제
13PR1200, 모바일 빅뱅시대의 스펙트럼 슈퍼하이웨이 기술개발, 최재익
초록
In this paper, we investigate the performance analysis of cognitive radio (CR) multiple-input-multiple-output (MIMO) systems, including the scheduled transmit antenna selection (TAS) with maximal ratio combining (MRC) and the scheduled space-time block coding (STBC). Here, the scheduled MIMO systems transmit data of a user to provide the maximum instantaneous postprocessing signal-to-noise ratio (SNR) at the CR receiver. For the closed-form performance analysis, we derive approximated probability density functions (pdfs) of the instantaneous postprocessing SNR at the receiver for the scheduled TAS with MRC and the scheduled STBC systems, respectively. Based on the results, we derive the approximated closed-form expressions of the average postprocessing SNR and ergodic capacity for the scheduled CR systems with MIMO transmission. Through the analysis, we provide the achievable average postprocessing SNR and ergodic capacity of the proposed scheduled systems as a function of the peak interference power constraint. In addition, we present the impact of imperfect channel state information (CSI) on the ergodic capacity for the scheduled TAS with MRC and the scheduled STBC systems through arbitrary order statistics, respectively. © 1967-2012 IEEE.
키워드
Average postprocessing signal-to-noise ratio (SNR), cognitive radio (CR), ergodic capacity, maximal ratio combining (MRC), multiple-input-multiple-output (MIMO) systems, multiuser diversity (MUD), space-time block coding (STBC), transmit antenna selection(TAS), user scheduling
KSP 제안 키워드
Arbitrary order, Channel State Information(CSI), Closed-form expressions, Cognitive Radio System, Ergodic capacity, Interference Power Constraint, MIMO transmission, Maximal-ratio-combining(MRC), Multiuser diversity, Performance analysis, Probability Density Function