Title
Power Gain Estimation and Its Impact on Binary Power Control in Underlay Cognitive Radio
Abstract
We propose a novel minimum mean square error estimator that estimates the channel power gain of the link from the secondary transmitter to the primary receiver (PRx). It lowers the root mean square error compared to several other estimators used in the underlay cognitive radio literature that first estimate the channel amplitude. We then analyze its system impact for two types of interference constraints. To this end, for the optimal binary transmit power control policy, we derive closed-form expressions for the average interference and the probability that the interference at the PRx violates a peak interference constraint with the proposed estimator. We show that the proposed estimator performs closer to the perfect channel state information scenario compared to the other estimators.
Year
DOI
Venue
2015
10.1109/LWC.2015.2394496
Wireless Communications Letters, IEEE  
Keywords
Field
DocType
Channel estimation,Interference constraints,Gain,Cognitive radio,Maximum likelihood estimation
Transmitter,Transmitter power output,Control theory,Power control,Mean squared error,Minimum mean square error,Interference (wave propagation),Mathematics,Channel state information,Estimator
Journal
Volume
Issue
ISSN
4
2
2162-2337
Citations 
PageRank 
References 
2
0.38
9
Authors
2
Name
Order
Citations
PageRank
Salil Kashyap120.72
Neelesh B. Mehta297982.27