吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (5): 1498-1505.doi: 10.7964/jdxbgxb201405043

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Hierarchical optimization algorithm for resource allocation in relay-assisted cognitive radio network

CHEN Jian,FAN Guang-hui,KUO Yong-hong   

  1. School of Telecommunications Engineering, Xidian University, Xi′an 710071, China
  • Received:2013-02-22 Online:2014-09-01 Published:2014-09-01

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Abstract: In order to diversity problem of two-hop complete Decode-and-Forward (DF) relay transmission in time-varying channels, a hierarchical optimization model is proposed. This model is based on Nash bargaining fairness criterion, and it combines transmission mode selection, subcarrier pairing, channel assignment and power allocation. Taking the advantage of Lagrange Duality, the proposed model reduces the algorithm complexity, improves the system utility and enhances the overall throughput. Simulation results show that, compared with complete relay transmission models, direct transmission models and non-carrier-pairing transmission models, the proposed algorithm achieves great improvement in system throughput and ensures the users' rate requirement and fairness at the same time.

Key words: communication technology, cognitive radio, relay assisted, resource allocation, Lagrange dual, hierarchical optimization

CLC Number: 

  • TN925
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