Error Rate Analysis of Cognitive Radio Transmissions with Imperfect Channel Sensing

被引：0

作者：

Ozcan, Gozde ^{[1
]}

Gursoy, M. Cenk ^{[1
]}

Gezici, Sinan ^{[2
]}

机构：

[1] Syracuse Univ, Dept Elect Engn & Comp Sci, Syracuse, NY 13244 USA

[2] Bilkent Univ, Dept Elect & Elect Engn, TR-06800 Ankara, Turkey

来源：

2013 IEEE 78TH VEHICULAR TECHNOLOGY CONFERENCE (VTC FALL) | 2013年

关键词：

Cognitive radio; PAM; QAM; symbol error probability; fading channel; Gaussian mixture noise; channel sensing; PERFORMANCE ANALYSIS; NETWORKS; LIMITS;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, error rate performance of cognitive radio transmissions is studied in the presence of imperfect channel sensing decisions. It is assumed that cognitive users first perform channel sensing, albeit with possible errors. Then, depending on the sensing decisions, they select the transmission energy level and employ M-I x M-Q rectangular quadrature amplitude modulation (QAM) for data transmission over a fading channel. In this setting, the optimal decision rule is formulated under the assumptions that the receiver is equipped with the sensing decision and perfect knowledge of the channel fading. It is shown that the thresholds for optimal detection at the receiver are the midpoints between the signals under any sensing decision. Subsequently, minimum average error probability expressions for M-ary pulse amplitude modulation (M-PAM) and M-I x M-Q rectangular QAM transmissions attained with the optimal detector are derived. The effects of imperfect channel sensing decisions on the average symbol error probability are analyzed.

引用

页数：5

共 10 条

[1] State-of-the-art and recent advances Spectrum Sensing for Cognitive Radio State-of-the-art and recent advances [J].

Axell, Erik ;

Leus, Geert ;

Larsson, Erik G. ;

Poor, H. Vincent .

IEEE SIGNAL PROCESSING MAGAZINE, 2012, 29 (03) :101-116

[2] Spectrum sensing in cognitive radio networks: Requirements, challenges and design trade-offs [J].

Ghasemi, Amir ;

Sousa, Elvino S. .

IEEE COMMUNICATIONS MAGAZINE, 2008, 46 (04) :32-39

[3] Fundamental limits of spectrum-sharing in fading environments [J].

Ghasemi, Amir ;

Sousa, Elvino S. .

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2007, 6 (02) :649-658

[4]

Hossain E, 2009, DYNAMIC SPECTRUM ACCESS AND MANAGEMENT IN COGNITIVE RADIO NETWORKS, P1, DOI 10.1017/CBO9780511609909

[5]

Li L, 2011, 2011 IEEE 22ND INTERNATIONAL SYMPOSIUM ON PERSONAL INDOOR AND MOBILE RADIO COMMUNICATIONS (PIMRC), P681, DOI 10.1109/PIMRC.2011.6140050

[6] Sensing-throughput tradeoff for cognitive radio networks [J].

Liang, Ying-Chang ;

Zeng, Yonghong ;

Peh, Edward C. Y. ;

Hoang, Anh Tuan .

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2008, 7 (04) :1326-1337

[7]

Poor H. V., 1994, An Introduction to Signal Detection and Esti mation, V2nd

[8] A unified approach to the performance analysis of digital communication over generalized fading channels [J].

Simon, MK ;

Alouini, MS .

PROCEEDINGS OF THE IEEE, 1998, 86 (09) :1860-1877

[9] Capacity Limits and Performance Analysis of Cognitive Radio With Imperfect Channel Knowledge [J].

Suraweera, Himal A. ;

Smith, Peter J. ;

Shafi, Mansoor .

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2010, 59 (04) :1811-1822

[10]

Xu D, 2011, 2011 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), P78, DOI 10.1109/WCNC.2011.5779110

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