Title
Performance Analysis of MRC Diversity for Spectrum Sharing Systems with Imperfect Channel Estimation
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.
Year
DOI
Venue
2013
10.1109/CyberC.2013.79
CyberC
Keywords
Field
DocType
channel estimation error,mrc diversity,diversity reception,imperfect channel estimation,secondary transmission link,zero diversity gain,radio spectrum management,full diversity,various key system parameter,exact closed-form expressions,maximum ratio combining diversity,outage probability,spectrum sharing,spectrum sharing system,average ser,perfect channel estimation case,ser,performance analysis,channel estimation,high signal-to-noise-ratio regime,spectrum sharing systems,average symbol error rate,secondary system,probability,simple asymptotic expressions
Diversity gain,Imperfect,Expression (mathematics),Computer science,Maximal-ratio combining,Algorithm,Communication channel,Real-time computing,Coding (social sciences),Interference (wave propagation),Spectrum sharing,Statistics
Conference
Citations 
PageRank 
References 
0
0.34
11
Authors
4
Name
Order
Citations
PageRank
Yuzhen Huang118312.97
Yunpeng Cheng2858.84
Xueqiang Zheng3141.67
Jin-Long Wang4140294.86