Resource allocation and interference management for adaptive modulation and coding-based OFDMA cognitive radio networks

A. Shojaeifard; H. Saki; M. M. Mahyari; M. Shikh-Bahaei

doi:10.1109/ICC.2014.6884265

Resource allocation and interference management for adaptive modulation and coding-based OFDMA cognitive radio networks

A. Shojaeifard, H. Saki, M. M. Mahyari, M. Shikh-Bahaei

King's College London

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

5 Citations (Scopus)

Abstract

Radio resource allocation (RRA) algorithms are developed to enhance the spectral efficiency of downlink adaptive modulation and coding (AMC)-based orthogonal frequency-division multiple access (OFDMA) cognitive radios (CRs) under average transmit and peak interference power constraints. We consider the practical case of noisy channel-state-information (CSI) between cognitive transmitter (CTx) and primary receiver (PRx), and design novel interference management techniques to model and control the CR-inflicted interference on licensed spectrum. An expression for the cumulative density function (cdf) of the CRs' received signal-to-interference-plus-noise ratio (SINR) is developed to evaluate the resultant average spectral efficiency. Simulation results reveal that by adopting the joint resource allocation and interference management framework a considerable performance gain in the AMC-based OFDMA CR network is achieved over the conventional optimization methods.

Original language	English
Title of host publication	2014 IEEE International Conference on Communications, ICC 2014
Publisher	IEEE Computer Society Press
Pages	5908-5913
Number of pages	6
ISBN (Print)	9781479920037
DOIs	https://doi.org/10.1109/ICC.2014.6884265
Publication status	Published - 2014
Event	2014 1st IEEE International Conference on Communications, ICC 2014 - Sydney, NSW, Australia Duration: 10 Jun 2014 → 14 Jun 2014

Conference

Conference	2014 1st IEEE International Conference on Communications, ICC 2014
Country/Territory	Australia
City	Sydney, NSW
Period	10/06/2014 → 14/06/2014

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10.1109/ICC.2014.6884265

Cite this

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abstract = "Radio resource allocation (RRA) algorithms are developed to enhance the spectral efficiency of downlink adaptive modulation and coding (AMC)-based orthogonal frequency-division multiple access (OFDMA) cognitive radios (CRs) under average transmit and peak interference power constraints. We consider the practical case of noisy channel-state-information (CSI) between cognitive transmitter (CTx) and primary receiver (PRx), and design novel interference management techniques to model and control the CR-inflicted interference on licensed spectrum. An expression for the cumulative density function (cdf) of the CRs' received signal-to-interference-plus-noise ratio (SINR) is developed to evaluate the resultant average spectral efficiency. Simulation results reveal that by adopting the joint resource allocation and interference management framework a considerable performance gain in the AMC-based OFDMA CR network is achieved over the conventional optimization methods.",

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Shojaeifard, A , Saki, H, Mahyari, MM & Shikh-Bahaei, M 2014, Resource allocation and interference management for adaptive modulation and coding-based OFDMA cognitive radio networks. in 2014 IEEE International Conference on Communications, ICC 2014., 6884265, IEEE Computer Society Press, pp. 5908-5913, 2014 1st IEEE International Conference on Communications, ICC 2014, Sydney, NSW, Australia, 10/06/2014. https://doi.org/10.1109/ICC.2014.6884265

Resource allocation and interference management for adaptive modulation and coding-based OFDMA cognitive radio networks. / Shojaeifard, A.; Saki, H.; Mahyari, M. M. et al.
2014 IEEE International Conference on Communications, ICC 2014. IEEE Computer Society Press, 2014. p. 5908-5913 6884265.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

TY - CHAP

T1 - Resource allocation and interference management for adaptive modulation and coding-based OFDMA cognitive radio networks

AU - Shojaeifard, A.

AU - Saki, H.

AU - Mahyari, M. M.

AU - Shikh-Bahaei, M.

PY - 2014

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N2 - Radio resource allocation (RRA) algorithms are developed to enhance the spectral efficiency of downlink adaptive modulation and coding (AMC)-based orthogonal frequency-division multiple access (OFDMA) cognitive radios (CRs) under average transmit and peak interference power constraints. We consider the practical case of noisy channel-state-information (CSI) between cognitive transmitter (CTx) and primary receiver (PRx), and design novel interference management techniques to model and control the CR-inflicted interference on licensed spectrum. An expression for the cumulative density function (cdf) of the CRs' received signal-to-interference-plus-noise ratio (SINR) is developed to evaluate the resultant average spectral efficiency. Simulation results reveal that by adopting the joint resource allocation and interference management framework a considerable performance gain in the AMC-based OFDMA CR network is achieved over the conventional optimization methods.

AB - Radio resource allocation (RRA) algorithms are developed to enhance the spectral efficiency of downlink adaptive modulation and coding (AMC)-based orthogonal frequency-division multiple access (OFDMA) cognitive radios (CRs) under average transmit and peak interference power constraints. We consider the practical case of noisy channel-state-information (CSI) between cognitive transmitter (CTx) and primary receiver (PRx), and design novel interference management techniques to model and control the CR-inflicted interference on licensed spectrum. An expression for the cumulative density function (cdf) of the CRs' received signal-to-interference-plus-noise ratio (SINR) is developed to evaluate the resultant average spectral efficiency. Simulation results reveal that by adopting the joint resource allocation and interference management framework a considerable performance gain in the AMC-based OFDMA CR network is achieved over the conventional optimization methods.

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BT - 2014 IEEE International Conference on Communications, ICC 2014

PB - IEEE Computer Society Press

T2 - 2014 1st IEEE International Conference on Communications, ICC 2014

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ER -

Resource allocation and interference management for adaptive modulation and coding-based OFDMA cognitive radio networks

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