On the performance of spectrum sharing systems with multiple antennas

Handle URI:
http://hdl.handle.net/10754/564501
Title:
On the performance of spectrum sharing systems with multiple antennas
Authors:
Yang, Liang; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 ) ; Qaraqe, Khalid A.
Abstract:
In this paper, we study the capacity of spectrum sharing (SS) multiple-input multiple-output (MIMO) systems over Rayleigh fading channels. More specifically, we present closed-form capacity formulas for such systems with and without optimal power and rate adaptation. A lower bound on the capacity is also derived to characterize the scaling law of the capacity. Results show that increasing the number of antennas has a negative effect on the system capacity in the low signal-to-noise (SNR) regime and the scaling law at high SNR is similar to the conventional MIMO systems. In addition, a lower bound on the capacity of the SS keyhole MIMO channels is analyzed. We also present a capacity analysis of SS MIMO maximal ratio combining (MRC) systems and the results show that the capacity of such systems always decreases with the increase of the number of antennas. Numerical results are finally given to illustrate our analysis. © 2012 ICST.
KAUST Department:
Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Communication Theory Lab
Publisher:
Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (ICST)
Journal:
Proceedings of the 7th International Conference on Cognitive Radio Oriented Wireless Networks
Conference/Event name:
2012 7th International ICST Conference on Cognitive Radio Oriented Wireless Ntworks and Communications, CROWNCOM 2012
Issue Date:
2012
DOI:
10.4108/icst.crowncom.2012.249480
Type:
Conference Paper
ISBN:
9781936968558
Appears in Collections:
Conference Papers; Electrical Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorYang, Liangen
dc.contributor.authorAlouini, Mohamed-Slimen
dc.contributor.authorQaraqe, Khalid A.en
dc.date.accessioned2015-08-04T07:02:36Zen
dc.date.available2015-08-04T07:02:36Zen
dc.date.issued2012en
dc.identifier.isbn9781936968558en
dc.identifier.doi10.4108/icst.crowncom.2012.249480en
dc.identifier.urihttp://hdl.handle.net/10754/564501en
dc.description.abstractIn this paper, we study the capacity of spectrum sharing (SS) multiple-input multiple-output (MIMO) systems over Rayleigh fading channels. More specifically, we present closed-form capacity formulas for such systems with and without optimal power and rate adaptation. A lower bound on the capacity is also derived to characterize the scaling law of the capacity. Results show that increasing the number of antennas has a negative effect on the system capacity in the low signal-to-noise (SNR) regime and the scaling law at high SNR is similar to the conventional MIMO systems. In addition, a lower bound on the capacity of the SS keyhole MIMO channels is analyzed. We also present a capacity analysis of SS MIMO maximal ratio combining (MRC) systems and the results show that the capacity of such systems always decreases with the increase of the number of antennas. Numerical results are finally given to illustrate our analysis. © 2012 ICST.en
dc.publisherInstitute for Computer Sciences, Social Informatics and Telecommunications Engineering (ICST)en
dc.titleOn the performance of spectrum sharing systems with multiple antennasen
dc.typeConference Paperen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentCommunication Theory Laben
dc.identifier.journalProceedings of the 7th International Conference on Cognitive Radio Oriented Wireless Networksen
dc.conference.date18 June 2012 through 20 June 2012en
dc.conference.name2012 7th International ICST Conference on Cognitive Radio Oriented Wireless Ntworks and Communications, CROWNCOM 2012en
dc.conference.locationStockholmen
dc.contributor.institutionDepartment of Electrical Engineering, Jinan University, Guangzhou, Chinaen
dc.contributor.institutionElectrical and Computer Engineering Program, Texas A and M University at Qatar, Doha, Qataren
kaust.authorAlouini, Mohamed-Slimen
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