Discrete rate and variable power adaptation for underlay cognitive networks

Handle URI:
http://hdl.handle.net/10754/564251
Title:
Discrete rate and variable power adaptation for underlay cognitive networks
Authors:
Abdallah, Mohamed M.; Salem, Ahmed H.; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 ) ; Qaraqe, Khalid A.
Abstract:
We consider the problem of maximizing the average spectral efficiency of a secondary link in underlay cognitive networks. In particular, we consider the network setting whereby the secondary transmitter employs discrete rate and variable power adaptation under the constraints of maximum average transmit power and maximum average interference power allowed at the primary receiver due to the existence of an interference link between the secondary transmitter and the primary receiver. We first find the optimal discrete rates assuming a predetermined partitioning of the signal-to-noise ratio (SNR) of both the secondary and interference links. We then present an iterative algorithm for finding a suboptimal partitioning of the SNR of the interference link assuming a fixed partitioning of the SNR of secondary link selected for the case where no interference link exists. Our numerical results show that the average spectral efficiency attained by using the iterative algorithm is close to that achieved by the computationally extensive exhaustive search method for the case of Rayleigh fading channels. In addition, our simulations show that selecting the optimal partitioning of the SNR of the secondary link assuming no interference link exists still achieves the maximum average spectral efficiency for the case where the average interference constraint is considered. © 2010 IEEE.
KAUST Department:
Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Communication Theory Lab
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2010 European Wireless Conference (EW)
Conference/Event name:
2010 European Wireless Conference, EW 2010
Issue Date:
2010
DOI:
10.1109/EW.2010.5483522
Type:
Conference Paper
ISBN:
9781424459995
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.authorAbdallah, Mohamed M.en
dc.contributor.authorSalem, Ahmed H.en
dc.contributor.authorAlouini, Mohamed-Slimen
dc.contributor.authorQaraqe, Khalid A.en
dc.date.accessioned2015-08-04T06:20:44Zen
dc.date.available2015-08-04T06:20:44Zen
dc.date.issued2010en
dc.identifier.isbn9781424459995en
dc.identifier.doi10.1109/EW.2010.5483522en
dc.identifier.urihttp://hdl.handle.net/10754/564251en
dc.description.abstractWe consider the problem of maximizing the average spectral efficiency of a secondary link in underlay cognitive networks. In particular, we consider the network setting whereby the secondary transmitter employs discrete rate and variable power adaptation under the constraints of maximum average transmit power and maximum average interference power allowed at the primary receiver due to the existence of an interference link between the secondary transmitter and the primary receiver. We first find the optimal discrete rates assuming a predetermined partitioning of the signal-to-noise ratio (SNR) of both the secondary and interference links. We then present an iterative algorithm for finding a suboptimal partitioning of the SNR of the interference link assuming a fixed partitioning of the SNR of secondary link selected for the case where no interference link exists. Our numerical results show that the average spectral efficiency attained by using the iterative algorithm is close to that achieved by the computationally extensive exhaustive search method for the case of Rayleigh fading channels. In addition, our simulations show that selecting the optimal partitioning of the SNR of the secondary link assuming no interference link exists still achieves the maximum average spectral efficiency for the case where the average interference constraint is considered. © 2010 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.titleDiscrete rate and variable power adaptation for underlay cognitive networksen
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.journal2010 European Wireless Conference (EW)en
dc.conference.date12 April 2010 through 15 April 2010en
dc.conference.name2010 European Wireless Conference, EW 2010en
dc.conference.locationLuccaen
dc.contributor.institutionDepartment of Electrical and Computer Engineering, Texas A and M University at Qatar, Education City, Doha, Qataren
dc.contributor.institutionDepartment of Electronics and Electrical Communication, Cairo University, Giza, Cairo, Egypten
kaust.authorAlouini, Mohamed-Slimen
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