Discrete rate and variable power adaptation for underlay cognitive networks

Mohamed Abdallah, Ahmed Salem, Mohamed Slim Alouini, Khalid Qaraqe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2010 European Wireless Conference, EW 2010
Pages733-737
Number of pages5
DOIs
Publication statusPublished - 2010
Event2010 European Wireless Conference, EW 2010 - Lucca, Italy
Duration: 12 Apr 201015 Apr 2010

Other

Other2010 European Wireless Conference, EW 2010
CountryItaly
CityLucca
Period12/4/1015/4/10

Fingerprint

Telecommunication links
Signal to noise ratio
Transmitters
Radio interference
Rayleigh fading
Fading channels

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Electrical and Electronic Engineering

Cite this

Abdallah, M., Salem, A., Alouini, M. S., & Qaraqe, K. (2010). Discrete rate and variable power adaptation for underlay cognitive networks. In 2010 European Wireless Conference, EW 2010 (pp. 733-737). [5483522] https://doi.org/10.1109/EW.2010.5483522

Discrete rate and variable power adaptation for underlay cognitive networks. / Abdallah, Mohamed; Salem, Ahmed; Alouini, Mohamed Slim; Qaraqe, Khalid.

2010 European Wireless Conference, EW 2010. 2010. p. 733-737 5483522.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abdallah, M, Salem, A, Alouini, MS & Qaraqe, K 2010, Discrete rate and variable power adaptation for underlay cognitive networks. in 2010 European Wireless Conference, EW 2010., 5483522, pp. 733-737, 2010 European Wireless Conference, EW 2010, Lucca, Italy, 12/4/10. https://doi.org/10.1109/EW.2010.5483522
Abdallah M, Salem A, Alouini MS, Qaraqe K. Discrete rate and variable power adaptation for underlay cognitive networks. In 2010 European Wireless Conference, EW 2010. 2010. p. 733-737. 5483522 https://doi.org/10.1109/EW.2010.5483522
Abdallah, Mohamed ; Salem, Ahmed ; Alouini, Mohamed Slim ; Qaraqe, Khalid. / Discrete rate and variable power adaptation for underlay cognitive networks. 2010 European Wireless Conference, EW 2010. 2010. pp. 733-737
@inproceedings{ea5c988dc2fa4eecb864c30f8ea64675,
title = "Discrete rate and variable power adaptation for underlay cognitive networks",
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.",
author = "Mohamed Abdallah and Ahmed Salem and Alouini, {Mohamed Slim} and Khalid Qaraqe",
year = "2010",
doi = "10.1109/EW.2010.5483522",
language = "English",
isbn = "9781424459995",
pages = "733--737",
booktitle = "2010 European Wireless Conference, EW 2010",

}

TY - GEN

T1 - Discrete rate and variable power adaptation for underlay cognitive networks

AU - Abdallah, Mohamed

AU - Salem, Ahmed

AU - Alouini, Mohamed Slim

AU - Qaraqe, Khalid

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=77954431083&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77954431083&partnerID=8YFLogxK

U2 - 10.1109/EW.2010.5483522

DO - 10.1109/EW.2010.5483522

M3 - Conference contribution

SN - 9781424459995

SP - 733

EP - 737

BT - 2010 European Wireless Conference, EW 2010

ER -