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Weighted sum rate maximization for OFDM-based cognitive radio systems

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Abstract

In this paper, we focus on the subcarrier and power allocation problem in the downlink of an OFDM system under the cognitive radio environment. We aim to maximize the weighted sum rate of secondary users, without causing adverse interferences to primary users. We formulate the optimization problem subject to a total transmit power constraint and interference constraints, and give the optimality conditions, from which we derive a power limited multilevel water-filling algorithm. Simulation results show that our proposed algorithm yields significant improvement in terms of weighted sum rate, and provides good convergence with low computational burden.

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Authors and Affiliations

  1. Wireless Information Network Lab, University of Science and Technology of China, P.O. Box 4, Hefei, Anhui, 230027, People’s Republic of China

    Zhihua Tang, Guo Wei & Youtuan Zhu

Authors
  1. Zhihua Tang
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  2. Guo Wei
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  3. Youtuan Zhu
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Corresponding author

Correspondence to Zhihua Tang.

Additional information

The work was supported by the National Basic Research Program of China (973 Program) under Grant No.2007CB310602.

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Tang, Z., Wei, G. & Zhu, Y. Weighted sum rate maximization for OFDM-based cognitive radio systems. Telecommun Syst 42, 77–84 (2009). https://doi.org/10.1007/s11235-009-9170-0

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  • DOI: https://doi.org/10.1007/s11235-009-9170-0

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