DocumentCode :
655035
Title :
Performance Analysis of MRC Diversity for Spectrum Sharing Systems with Imperfect Channel Estimation
Author :
Yuzhen Huang ; Yunpeng Cheng ; Xueqiang Zheng ; Jinlong Wang
Author_Institution :
Coll. of Commun. Eng., PLA Univ. of Sci. & Technol., Nanjing, China
fYear :
2013
fDate :
10-12 Oct. 2013
Firstpage :
427
Lastpage :
432
Abstract :
In this paper, we analyze the performance of maximum ratio combining (MRC) diversity in spectrum sharing systems with imperfect channel estimation. Considering the limited power and number of pilot symbols, we study the impact of imperfect channel estimation about the secondary transmission link on the performance of the spectrum sharing system. Specifically, the exact closed-form expressions for the outage probability and average symbol error rate (SER) of spectrum sharing systems are derived, and the impact of various key system parameters, such as interference temperature, number of antennas, and channel estimation error, is investigated. Moreover, simple asymptotic expressions for the outage probability and average SER at the high signal-to-noise-ratio regime are provided, based on which the diversity and coding gains achieved by the secondary system are characterized. The finding of this paper suggests that zero diversity gain is attained due to imperfect channel estimation whereas a full diversity can be achieved under the perfect channel estimation case.
Keywords :
channel estimation; diversity reception; probability; radio spectrum management; MRC diversity; SER; average symbol error rate; exact closed-form expressions; high signal-to-noise-ratio regime; imperfect channel estimation; maximum ratio combining diversity; outage probability; performance analysis; secondary transmission link; simple asymptotic expressions; spectrum sharing systems; Channel estimation; Diversity methods; Diversity reception; Encoding; Receivers; Signal to noise ratio; Vectors; SER; imperfect channel estimation; outage probability; spectrum sharing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2013 International Conference on
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/CyberC.2013.79
Filename :
6685720
Link To Document :
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