WANG Zhengqiang, JIANG Lingge, HE Chen. Optimal Price-Based Power Control Algorithm with Quality of Service Constraints in Cognitive Radio Networks[J]. Chinese Journal of Electronics, 2015, 24(2): 393-397. doi: 10.1049/cje.2015.04.028
Citation: WANG Zhengqiang, JIANG Lingge, HE Chen. Optimal Price-Based Power Control Algorithm with Quality of Service Constraints in Cognitive Radio Networks[J]. Chinese Journal of Electronics, 2015, 24(2): 393-397. doi: 10.1049/cje.2015.04.028

Optimal Price-Based Power Control Algorithm with Quality of Service Constraints in Cognitive Radio Networks

doi: 10.1049/cje.2015.04.028
Funds:  This work is supported by the National High Technology Research and Development Program of China (863 Program) (No.2014AA01A701) and the National Natural Science Foundation of China (No.61172067, No.61371086).
  • Publish Date: 2015-04-10
  • In price-based cognitive radio networks, the Primary user (PU) can allow the Secondary users (SUs) to access by pricing if their interference power is under the Interference power constraint (IPC). The interaction between the PU and the SUs is modeled as a Stackelberg game with the consideration of the Quality of service (QoS) of the SUs. The revenue maximization problem of PU is expressed as an equivalent convex optimization problem if the minimum Signal-to-interference and noise ratio (SINR) constraints for the SUs are greater than or equal to 0dB. An optimal pricing algorithm is proposed based on this equivalent convex optimization problem. Simulation results show that the proposed pricing algorithm outperforms the non-uniform pricing algorithm in terms of the revenue of the PU, the sum rate of SUs and the number of admitted SUs.
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