A Robust Distributed Power Control Algorithm for Minimum Interference to Primary Users in Underlay Cognitive Radio Networks

Authors

  • Lingling Chen College of Information and Control Engineering, Jilin Institution of Chemical Technology, Jilin, China
  • Xiaohui Zhao College of Communication Engineering, Jilin University, Jilin, China
  • Shubei Sun College of Information and Control Engineering, Jilin Institution of Chemical Technology, Jilin, China
  • Yueliang Lu College of Information and Control Engineering, Jilin Institution of Chemical Technology, Jilin, China
  • Xiaoyue Gong College of Information and Control Engineering, Jilin Institution of Chemical Technology, Jilin, China
  • Xingquan Gao College of Information and Control Engineering, Jilin Institution of Chemical Technology, Jilin, China

DOI:

https://doi.org/10.3991/ijoe.v12i12.6443

Keywords:

cognitive radio networks, robust distributed power control (RDPC), worst case condition

Abstract


A robust distributed optimal power control (RDPC) scheme under worst case condition is proposed to make primary users (PUs) receive minimum interference generated from all secondary users (SUs) in underlay cognitive radio networks (CRNs). The strategy considers the transmit power of each SU below the maximum allowable power of the devices and interference plus noise ratio (SINR) of each SU under the minimum threshold. Simulation illustrate thatthe RDPC can lead SUs to reduce the interference to PUs, and simultaneously the better meet quality of service (QoS) requirement of SUs in comparison with the distributed power control algorithm (DPC) and the traditional iterative water filling algorithm (IWFA) in time-varying channel environment.

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Published

2016-12-25

How to Cite

Chen, L., Zhao, X., Sun, S., Lu, Y., Gong, X., & Gao, X. (2016). A Robust Distributed Power Control Algorithm for Minimum Interference to Primary Users in Underlay Cognitive Radio Networks. International Journal of Online and Biomedical Engineering (iJOE), 12(12), pp. 4–10. https://doi.org/10.3991/ijoe.v12i12.6443

Issue

Vol. 12 No. 12 (2016)

Section

Papers