Home > Research > Publications & Outputs > Optimal subcarrier and bit allocation technique...

Research

Links

Text available via DOI:

Keywords

View graph of relations

Optimal subcarrier and bit allocation techniques for cognitive radio networks using integer linear programming

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Published

Standard

Optimal subcarrier and bit allocation techniques for cognitive radio networks using integer linear programming. / Rahulamathavan, Y.; Cumanan, K.; Musavian, L. et al.
Statistical Signal Processing, 2009. SSP '09. IEEE/SP 15th Workshop on . New York: IEEE, 2009. p. 293-296.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Rahulamathavan, Y, Cumanan, K, Musavian, L & Lambotharan, S 2009, Optimal subcarrier and bit allocation techniques for cognitive radio networks using integer linear programming. in Statistical Signal Processing, 2009. SSP '09. IEEE/SP 15th Workshop on . IEEE, New York, pp. 293-296, 15th IEEE/SP Workshop on Statistical Signal Processing, Cardiff, 31/08/09. https://doi.org/10.1109/SSP.2009.5278582

APA

Rahulamathavan, Y., Cumanan, K., Musavian, L., & Lambotharan, S. (2009). Optimal subcarrier and bit allocation techniques for cognitive radio networks using integer linear programming. In Statistical Signal Processing, 2009. SSP '09. IEEE/SP 15th Workshop on (pp. 293-296). IEEE. https://doi.org/10.1109/SSP.2009.5278582

Vancouver

Rahulamathavan Y, Cumanan K, Musavian L, Lambotharan S. Optimal subcarrier and bit allocation techniques for cognitive radio networks using integer linear programming. In Statistical Signal Processing, 2009. SSP '09. IEEE/SP 15th Workshop on . New York: IEEE. 2009. p. 293-296 doi: 10.1109/SSP.2009.5278582

Author

Rahulamathavan, Y. ; Cumanan, K. ; Musavian, L. et al. / Optimal subcarrier and bit allocation techniques for cognitive radio networks using integer linear programming. Statistical Signal Processing, 2009. SSP '09. IEEE/SP 15th Workshop on . New York : IEEE, 2009. pp. 293-296

Bibtex

@inproceedings{22d00744c3b9457bb312b6fb3b384dcf,
title = "Optimal subcarrier and bit allocation techniques for cognitive radio networks using integer linear programming",
abstract = "We propose an adaptive radio resource allocation algorithm for cognitive radio underlay networks. The proposed algorithm optimally allocates power and the available subcarriers in an OFDMA environment while ensuring interference leaked to the primary users is below a specific value. We formulate the radio resource allocation problem for cognitive radio network into integer linear programming framework. This algorithm yields an optimal solution for the proposed resource allocation problem. Simulation results have been provided to validate the performance of the algorithm.",
keywords = "Cognitive radio , OFDMA , bit allocation , branch and bound method , broadband communications , integer linear programming , radio resource allocation",
author = "Y. Rahulamathavan and K. Cumanan and L. Musavian and S. Lambotharan",
year = "2009",
doi = "10.1109/SSP.2009.5278582",
language = "English",
isbn = "978-1-4244-2709-3",
pages = "293--296",
booktitle = "Statistical Signal Processing, 2009. SSP '09. IEEE/SP 15th Workshop on",
publisher = "IEEE",
note = "15th IEEE/SP Workshop on Statistical Signal Processing ; Conference date: 31-08-2009 Through 03-09-2009",

}

RIS

TY - GEN

T1 - Optimal subcarrier and bit allocation techniques for cognitive radio networks using integer linear programming

AU - Rahulamathavan, Y.

AU - Cumanan, K.

AU - Musavian, L.

AU - Lambotharan, S.

PY - 2009

Y1 - 2009

N2 - We propose an adaptive radio resource allocation algorithm for cognitive radio underlay networks. The proposed algorithm optimally allocates power and the available subcarriers in an OFDMA environment while ensuring interference leaked to the primary users is below a specific value. We formulate the radio resource allocation problem for cognitive radio network into integer linear programming framework. This algorithm yields an optimal solution for the proposed resource allocation problem. Simulation results have been provided to validate the performance of the algorithm.

AB - We propose an adaptive radio resource allocation algorithm for cognitive radio underlay networks. The proposed algorithm optimally allocates power and the available subcarriers in an OFDMA environment while ensuring interference leaked to the primary users is below a specific value. We formulate the radio resource allocation problem for cognitive radio network into integer linear programming framework. This algorithm yields an optimal solution for the proposed resource allocation problem. Simulation results have been provided to validate the performance of the algorithm.

KW - Cognitive radio

KW - OFDMA

KW - bit allocation

KW - branch and bound method

KW - broadband communications

KW - integer linear programming

KW - radio resource allocation

U2 - 10.1109/SSP.2009.5278582

DO - 10.1109/SSP.2009.5278582

M3 - Conference contribution/Paper

SN - 978-1-4244-2709-3

SP - 293

EP - 296

BT - Statistical Signal Processing, 2009. SSP '09. IEEE/SP 15th Workshop on

PB - IEEE

CY - New York

T2 - 15th IEEE/SP Workshop on Statistical Signal Processing

Y2 - 31 August 2009 through 3 September 2009

ER -