吉林大学学报(工学版) ›› 2011, Vol. 41 ›› Issue (6): 1788-1792.

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Optimizing PAPR algorithm for cognitive radio based on assignment model

LIU Miao1,2, WANG Ke1, CONG Yu-liang1   

  1. 1.School of Communication and Engineering, Jilin University, Changchun 130022, China|2.Department of Electronic and Information Engineering,Northeast Petroleum University at Qinhuangdao, Qinhuangdao 066004, China
  • Received:2010-11-04 Online:2011-11-01 Published:2011-11-01

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Abstract:

The optimization model based on assignment problem is implemented to the Peak-to-Average Power Ratio (PAPR) mitigation of Cognitive Radio (CR) systems, which is based on WOFDM. Under the condition that the number of the wavelet filter bank levels is fixed, the optimal wavelet packet basis is chosen to obtain the optimal performance of the system PAPR. Analysis and simulations show that implementation of the optimization model can not only ensure the Bit Error Rate (BER) performance of the system, but also mitigate the PAPR of the system without requiring any side information. In addition, the design of the new algorithm satisfies the constraint of parallel computation, so parallel computing can be implemented based on Multi-core Programming (MP). The execution performance of the new algorithm can be ensured.

Key words: communication technologies, cognitive radio, linear programming, parallel computing, peak-to-average power ratio

CLC Number: 

  • TN929.5
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