Exact performance analysis of MIMO cognitive radio systems using transmit antenna selection

Handle URI:
http://hdl.handle.net/10754/575705
Title:
Exact performance analysis of MIMO cognitive radio systems using transmit antenna selection
Authors:
Tourki, Kamel; Khan, Fahd Ahmed; Qaraqe, Khalid A.; Yang, Hongchuan; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
We consider in this paper, a spectrum sharing cognitive radio system with a ratio selection scheme; where one out of N independent-and-identically- distributed transmit antennas is selected such that the ratio of the secondary transmitter (ST) to the secondary receiver (SR) channel gain to the interference from the ST to the primary receiver (PR) channel gain is maximized. Although previous works considered perfect, outdated, or partial channel state information at the transmitter, we stress that using such assumptions may lead to a feedback overhead for updating the SR with the ST-PR interference channel estimation. Considering only statistical knowledge of the ST-PR channel gain, we investigate a ratio selection scheme using a mean value (MV)-based power allocation strategy referred to as MV-based scheme. We first provide the exact statistics in terms of probability density function and cumulative distribution function of the secondary channel gain as well as of the interference channel gain. Furthermore, we derive exact cumulative density function of the received signal-to-noise ratio at the SR where the ST uses a power allocation based on instantaneous perfect channel state information (CSI) referred to as CSI-based scheme. These statistics are then used to derive exact closed form expressions of the outage probability, symbol error rate, and ergodic capacity of the secondary system when the interference channel from the primary transmitter (PT) to the SR is ignored. Furthermore, an asymptotical analysis is also carried out for the MV-based scheme as well as for the CSI-based scheme to derive the generalized diversity gain for each. Subsequently, we address the performance analysis based on exact statistics of the combined signal-to-interference-plus- noise ratio at the SR of the more challenging case; when the PT-SR interference channel is considered. Numerical results in a Rayleigh fading environment manifest that the MV-based scheme outperforms the CSI-based scheme provided that a low interference power constraint is deployed, implying that the MV-based scheme is more suitable for practical systems. © 1983-2012 IEEE.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Electrical Engineering Program; Communication Theory Lab
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Journal on Selected Areas in Communications
Issue Date:
Mar-2014
DOI:
10.1109/JSAC.2014.140305
Type:
Article
ISSN:
07338716
Sponsors:
Manuscript received November 18, 2012; revised April 4, 2013 and June 24, 2013. This publication was made possible by NPRP grant #5-250-2-087 from the Qatar National Research Fund (a member of the Qatar Foundation). The statements made herein are solely the responsibility of the authors.
Appears in Collections:
Articles; Electrical Engineering Program; Electrical Engineering Program; Communication Theory Lab; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorTourki, Kamelen
dc.contributor.authorKhan, Fahd Ahmeden
dc.contributor.authorQaraqe, Khalid A.en
dc.contributor.authorYang, Hongchuanen
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2015-08-24T08:36:13Zen
dc.date.available2015-08-24T08:36:13Zen
dc.date.issued2014-03en
dc.identifier.issn07338716en
dc.identifier.doi10.1109/JSAC.2014.140305en
dc.identifier.urihttp://hdl.handle.net/10754/575705en
dc.description.abstractWe consider in this paper, a spectrum sharing cognitive radio system with a ratio selection scheme; where one out of N independent-and-identically- distributed transmit antennas is selected such that the ratio of the secondary transmitter (ST) to the secondary receiver (SR) channel gain to the interference from the ST to the primary receiver (PR) channel gain is maximized. Although previous works considered perfect, outdated, or partial channel state information at the transmitter, we stress that using such assumptions may lead to a feedback overhead for updating the SR with the ST-PR interference channel estimation. Considering only statistical knowledge of the ST-PR channel gain, we investigate a ratio selection scheme using a mean value (MV)-based power allocation strategy referred to as MV-based scheme. We first provide the exact statistics in terms of probability density function and cumulative distribution function of the secondary channel gain as well as of the interference channel gain. Furthermore, we derive exact cumulative density function of the received signal-to-noise ratio at the SR where the ST uses a power allocation based on instantaneous perfect channel state information (CSI) referred to as CSI-based scheme. These statistics are then used to derive exact closed form expressions of the outage probability, symbol error rate, and ergodic capacity of the secondary system when the interference channel from the primary transmitter (PT) to the SR is ignored. Furthermore, an asymptotical analysis is also carried out for the MV-based scheme as well as for the CSI-based scheme to derive the generalized diversity gain for each. Subsequently, we address the performance analysis based on exact statistics of the combined signal-to-interference-plus- noise ratio at the SR of the more challenging case; when the PT-SR interference channel is considered. Numerical results in a Rayleigh fading environment manifest that the MV-based scheme outperforms the CSI-based scheme provided that a low interference power constraint is deployed, implying that the MV-based scheme is more suitable for practical systems. © 1983-2012 IEEE.en
dc.description.sponsorshipManuscript received November 18, 2012; revised April 4, 2013 and June 24, 2013. This publication was made possible by NPRP grant #5-250-2-087 from the Qatar National Research Fund (a member of the Qatar Foundation). The statements made herein are solely the responsibility of the authors.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectmean value-based power allocationen
dc.subjectMIMO cognitive radiosen
dc.subjectperformance analysisen
dc.subjectspectrum sharingen
dc.titleExact performance analysis of MIMO cognitive radio systems using transmit antenna selectionen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentCommunication Theory Laben
dc.identifier.journalIEEE Journal on Selected Areas in Communicationsen
dc.contributor.institutionECEN Program, Texas AandM University at Qatar, Education City, Doha, Qataren
dc.contributor.institutionECEN Dept., University of Victoria, Canadaen
kaust.authorAlouini, Mohamed-Slimen
kaust.authorKhan, Fahd Ahmeden
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