Receive Antenna Selection for Underlay Cognitive Radio with Instantaneous Interference Constraint

Author

Hanif, Muhammad ; Hong-Chuan Yang ; Alouini, Mohamed-Slim

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Victoria (UVic), Victoria, BC, Canada

Volume

22

Issue

6

fYear

2015

fDate

Jun-15

Firstpage

738

Lastpage

742

Abstract

Receive antenna selection is a low complexity scheme to reap diversity benefits. We analyze the performance of a receive antenna selection scheme in spectrum sharing systems where the antenna that results in highest signal-to-interference plus noise ratio at the secondary receiver is selected to improve the performance of secondary transmission. Exact and asymptotic behaviours of the received SINR are derived for both general and interference limited scenarios over general fading environment. These results are then applied to the outage and average bit error rate analysis when the secondary transmitter changes the transmit power in finite discrete levels to satisfy the instantaneous interference constraint at the primary receiver.

Keywords

cognitive radio; diversity reception; error statistics; radio spectrum management; radiofrequency interference; receiving antennas; asymptotic behaviour; average bit error rate analysis; diversity benefits; exact behaviour; finite discrete level; general fading environment; instantaneous interference constraint; interference-limited scenario; low-complexity scheme; outage bit error rate analysis; primary receiver; receive antenna selection scheme; received SINR; secondary receiver; secondary transmission; secondary transmitter; signal-to-interference-plus-noise ratio; spectrum sharing systems; transmit power; underlay cognitive radio; Fading; Interference; Receiving antennas; Signal to noise ratio; Transmitting antennas; Cognitive radio; interference; performance analysis; selection combining;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2014.2363163

Filename

6924725