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Uplink resource allocation in multiuser multicarrier cognitive radio networks under power amplifier nonlinearity

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Uplink resource allocation in multiuser multicarrier cognitive radio networks under power amplifier nonlinearity. / Baghani, Mina; Mohammadi, Abbas; Majidi, Mahdi; Valkama, Mikko.

In: Transactions on Emerging Telecommunications Technologies, Vol. 28, No. 10, 2017.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

Baghani, M, Mohammadi, A, Majidi, M & Valkama, M 2017, 'Uplink resource allocation in multiuser multicarrier cognitive radio networks under power amplifier nonlinearity', Transactions on Emerging Telecommunications Technologies, vol. 28, no. 10. https://doi.org/10.1002/ett.3162

APA

Baghani, M., Mohammadi, A., Majidi, M., & Valkama, M. (2017). Uplink resource allocation in multiuser multicarrier cognitive radio networks under power amplifier nonlinearity. Transactions on Emerging Telecommunications Technologies, 28(10). https://doi.org/10.1002/ett.3162

Vancouver

Baghani M, Mohammadi A, Majidi M, Valkama M. Uplink resource allocation in multiuser multicarrier cognitive radio networks under power amplifier nonlinearity. Transactions on Emerging Telecommunications Technologies. 2017;28(10). https://doi.org/10.1002/ett.3162

Author

Baghani, Mina ; Mohammadi, Abbas ; Majidi, Mahdi ; Valkama, Mikko. / Uplink resource allocation in multiuser multicarrier cognitive radio networks under power amplifier nonlinearity. In: Transactions on Emerging Telecommunications Technologies. 2017 ; Vol. 28, No. 10.

Bibtex - Download

@article{d0088e2f647a43ac96d65983d53cefac,
title = "Uplink resource allocation in multiuser multicarrier cognitive radio networks under power amplifier nonlinearity",
abstract = "In this paper, the nonlinear distortion effects of power amplifiers are studied, in particular from uplink subcarrier and power allocation perspectives in multiuser multicarrier cognitive networks. The out-of-band emissions of a nonlinear power amplifier create interference to the other users. The target is then to maximize the achievable uplink rate in a multiuser multicarrier cognitive network where a cognitive user should not introduce interference to the other users more than a specified threshold level, called interference power constraint. This task is formulated as a convex optimization problem with interference power constraints. Obtaining a closed-form solution for this problem is, however, not feasible due to its nonlinear nature. Accordingly, the problem is solved numerically, and extensive simulations are conducted to obtain performance results. The obtained results are also compared with a more simple heuristic approach. The results show that the proposed scheme provides a maximum rate while at the same time also guaranteeing that the interference levels are lower than the specified interference power constraint. The results also indicate that the maximum rate can be closely approximated by using the assisted or optimization-directed heuristic approach.",
author = "Mina Baghani and Abbas Mohammadi and Mahdi Majidi and Mikko Valkama",
year = "2017",
doi = "10.1002/ett.3162",
language = "English",
volume = "28",
journal = "Transactions on Emerging Telecommunications Technologies",
issn = "2161-3915",
publisher = "Wiley",
number = "10",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Uplink resource allocation in multiuser multicarrier cognitive radio networks under power amplifier nonlinearity

AU - Baghani, Mina

AU - Mohammadi, Abbas

AU - Majidi, Mahdi

AU - Valkama, Mikko

PY - 2017

Y1 - 2017

N2 - In this paper, the nonlinear distortion effects of power amplifiers are studied, in particular from uplink subcarrier and power allocation perspectives in multiuser multicarrier cognitive networks. The out-of-band emissions of a nonlinear power amplifier create interference to the other users. The target is then to maximize the achievable uplink rate in a multiuser multicarrier cognitive network where a cognitive user should not introduce interference to the other users more than a specified threshold level, called interference power constraint. This task is formulated as a convex optimization problem with interference power constraints. Obtaining a closed-form solution for this problem is, however, not feasible due to its nonlinear nature. Accordingly, the problem is solved numerically, and extensive simulations are conducted to obtain performance results. The obtained results are also compared with a more simple heuristic approach. The results show that the proposed scheme provides a maximum rate while at the same time also guaranteeing that the interference levels are lower than the specified interference power constraint. The results also indicate that the maximum rate can be closely approximated by using the assisted or optimization-directed heuristic approach.

AB - In this paper, the nonlinear distortion effects of power amplifiers are studied, in particular from uplink subcarrier and power allocation perspectives in multiuser multicarrier cognitive networks. The out-of-band emissions of a nonlinear power amplifier create interference to the other users. The target is then to maximize the achievable uplink rate in a multiuser multicarrier cognitive network where a cognitive user should not introduce interference to the other users more than a specified threshold level, called interference power constraint. This task is formulated as a convex optimization problem with interference power constraints. Obtaining a closed-form solution for this problem is, however, not feasible due to its nonlinear nature. Accordingly, the problem is solved numerically, and extensive simulations are conducted to obtain performance results. The obtained results are also compared with a more simple heuristic approach. The results show that the proposed scheme provides a maximum rate while at the same time also guaranteeing that the interference levels are lower than the specified interference power constraint. The results also indicate that the maximum rate can be closely approximated by using the assisted or optimization-directed heuristic approach.

U2 - 10.1002/ett.3162

DO - 10.1002/ett.3162

M3 - Article

VL - 28

JO - Transactions on Emerging Telecommunications Technologies

JF - Transactions on Emerging Telecommunications Technologies

SN - 2161-3915

IS - 10

ER -