Robust Power Allocation for OFDM-Based Cognitive Radio Networks: A Switched Affine Based Control Approach
In this paper, we investigate the robust power allocation issue in orthogonal frequency division multiplexing-based cognitive radio networks (CRNs) with unavoidable uncertainties (channel perturbations and variable environment). In this case, to control the performance degradation due to the uncerta...
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doaj-96bc6b755877409cb7cfc25adbbb332d2021-03-29T20:14:23ZengIEEEIEEE Access2169-35362017-01-015187781879210.1109/ACCESS.2017.27515658031964Robust Power Allocation for OFDM-Based Cognitive Radio Networks: A Switched Affine Based Control ApproachShi Pan0https://orcid.org/0000-0002-0853-1282Xiaohui Zhao1https://orcid.org/0000-0001-6531-5204Ying-Chang Liang2https://orcid.org/0000-0003-2671-5090College of Communication Engineering, Jilin University, Changchun, ChinaCollege of Communication Engineering, Jilin University, Changchun, ChinaSchool of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, AustraliaIn this paper, we investigate the robust power allocation issue in orthogonal frequency division multiplexing-based cognitive radio networks (CRNs) with unavoidable uncertainties (channel perturbations and variable environment). In this case, to control the performance degradation due to the uncertainties, we maximize the data rate of secondary users (SUs) by considering maximum allowable interference constraints and total power budget of SUs. To solve this problem, we design a controller for a switched affine system with state constraint. This system is based on a distributed projected dynamic system in accordance with the classical distributed convex optimization model for the power allocation and dynamic property of the Nash equilibrium. The robust controller design is on the basis of Lyapunov stability theory and linear matrix inequality to better realize the original power allocation from the control perspective. To the best of our knowledge, we are the first to solve the aforementioned problem by this kind of approach under the control frame, which is more practical for the realization in CRNs. Simulation results are provided to show the validation of the effectiveness of this approach in comparison with iterative water filling algorithm and the worst-case method.https://ieeexplore.ieee.org/document/8031964/Cognitive radioLyapunov methodrobustnesspower controlswitching systems |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Shi Pan Xiaohui Zhao Ying-Chang Liang |
spellingShingle |
Shi Pan Xiaohui Zhao Ying-Chang Liang Robust Power Allocation for OFDM-Based Cognitive Radio Networks: A Switched Affine Based Control Approach IEEE Access Cognitive radio Lyapunov method robustness power control switching systems |
author_facet |
Shi Pan Xiaohui Zhao Ying-Chang Liang |
author_sort |
Shi Pan |
title |
Robust Power Allocation for OFDM-Based Cognitive Radio Networks: A Switched Affine Based Control Approach |
title_short |
Robust Power Allocation for OFDM-Based Cognitive Radio Networks: A Switched Affine Based Control Approach |
title_full |
Robust Power Allocation for OFDM-Based Cognitive Radio Networks: A Switched Affine Based Control Approach |
title_fullStr |
Robust Power Allocation for OFDM-Based Cognitive Radio Networks: A Switched Affine Based Control Approach |
title_full_unstemmed |
Robust Power Allocation for OFDM-Based Cognitive Radio Networks: A Switched Affine Based Control Approach |
title_sort |
robust power allocation for ofdm-based cognitive radio networks: a switched affine based control approach |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2017-01-01 |
description |
In this paper, we investigate the robust power allocation issue in orthogonal frequency division multiplexing-based cognitive radio networks (CRNs) with unavoidable uncertainties (channel perturbations and variable environment). In this case, to control the performance degradation due to the uncertainties, we maximize the data rate of secondary users (SUs) by considering maximum allowable interference constraints and total power budget of SUs. To solve this problem, we design a controller for a switched affine system with state constraint. This system is based on a distributed projected dynamic system in accordance with the classical distributed convex optimization model for the power allocation and dynamic property of the Nash equilibrium. The robust controller design is on the basis of Lyapunov stability theory and linear matrix inequality to better realize the original power allocation from the control perspective. To the best of our knowledge, we are the first to solve the aforementioned problem by this kind of approach under the control frame, which is more practical for the realization in CRNs. Simulation results are provided to show the validation of the effectiveness of this approach in comparison with iterative water filling algorithm and the worst-case method. |
topic |
Cognitive radio Lyapunov method robustness power control switching systems |
url |
https://ieeexplore.ieee.org/document/8031964/ |
work_keys_str_mv |
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1724195043003072512 |