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Open AccessArticle

Joint Resource Optimization for Orthogonal Frequency Division Multiplexing Based Cognitive Amplify and Forward Relaying Networks

by 1,* and 2
1
School of Information Engineering, Nanchang University, Nanchang 330031, China
2
School of Information Engineering, East China Jiaotong University, Nanchang 330013, China
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(7), 2074; https://doi.org/10.3390/s20072074
Received: 24 February 2020 / Revised: 24 March 2020 / Accepted: 4 April 2020 / Published: 7 April 2020
(This article belongs to the Special Issue Energy-Efficient Sensing in Wireless Sensor Networks)
This paper investigates two resource allocation problems in cognitive relaying networks where both secondary network and primary network coexist in the same frequency band and adopt orthogonal frequency division multiplexing (OFDM) technology. The first one is the sum rate maximization problem of a secondary network under total power budget of a secondary network and tolerable interference constraint of a primary network. The second one is the sum rate maximization problem of a secondary network under separate power budgets of a secondary network and tolerable interference constraint of a primary network. These two optimization problems are completely different from those in traditional cooperative communication due to interference management constraint condition. A joint optimization algorithm is proposed, where power allocation and subcarrier pairing are decomposed into two subproblems with reasonable cost. The first one is a closed form solution of power allocation of the secondary network while managing the interference to a primary network under a constraint condition. The other is optimal subcarrier pairing at given power allocation. Simulation results reveal aspects of average signal to noise ratio (SNR), interference level, relay position, and power ratio on the sum rate of a secondary network. View Full-Text
Keywords: cognitive radio; amplify and forward; OFDM cognitive radio; amplify and forward; OFDM
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MDPI and ACS Style

Qin, D.; Zhou, T. Joint Resource Optimization for Orthogonal Frequency Division Multiplexing Based Cognitive Amplify and Forward Relaying Networks. Sensors 2020, 20, 2074. https://doi.org/10.3390/s20072074

AMA Style

Qin D, Zhou T. Joint Resource Optimization for Orthogonal Frequency Division Multiplexing Based Cognitive Amplify and Forward Relaying Networks. Sensors. 2020; 20(7):2074. https://doi.org/10.3390/s20072074

Chicago/Turabian Style

Qin, Dong; Zhou, Tianqing. 2020. "Joint Resource Optimization for Orthogonal Frequency Division Multiplexing Based Cognitive Amplify and Forward Relaying Networks" Sensors 20, no. 7: 2074. https://doi.org/10.3390/s20072074

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