DocumentCode
1977176
Title
SEP-optimal antenna selection for average interference constrained underlay cognitive radios
Author
Sarvendranath, Rimalapudi ; Mehta, Neelesh B.
Author_Institution
Dept. of Electr. Commun. Eng., Indian Inst. of Sci. (IISc), Bangalore, India
fYear
2012
fDate
3-7 Dec. 2012
Firstpage
2222
Lastpage
2227
Abstract
In the underlay mode of cognitive radio, secondary users can transmit when the primary is transmitting, but under tight interference constraints, which limit the secondary system performance. Antenna selection (AS)-based multiple antenna techniques, which require less hardware and yet exploit spatial diversity, help improve the secondary system performance. In this paper, we develop the optimal transmit AS rule that minimizes the symbol error probability (SEP) of an average interference-constrained secondary system that operates in the underlay mode. We show that the optimal rule is a non-linear function of the power gains of the channels from secondary transmit antenna to primary receiver and secondary transmit antenna to secondary receive antenna. The optimal rule is different from the several ad hoc rules that have been proposed in the literature. We also propose a closed-form, tractable variant of the optimal rule and analyze its SEP. Several results are presented to compare the performance of the closed-form rule with the ad hoc rules, and interesting inter-relationships among them are brought out.
Keywords
antenna arrays; cognitive radio; error statistics; radiofrequency interference; receiving antennas; transmitting antennas; AS-based multiple antenna techniques; SEP-optimal antenna selection; antenna selection-based multiple antenna techniques; average interference constrained underlay cognitive radios; average interference-constrained secondary system; closed-form rule; nonlinear function; optimal transmit AS rule; primary receiver antenna; secondary transmit antenna; secondary users; spatial diversity; symbol error probability;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Communications Conference (GLOBECOM), 2012 IEEE
Conference_Location
Anaheim, CA
ISSN
1930-529X
Print_ISBN
978-1-4673-0920-2
Electronic_ISBN
1930-529X
Type
conf
DOI
10.1109/GLOCOM.2012.6503445
Filename
6503445
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