Distributed power adjustment based on control theory for cognitive radio networks

Genki Matsui, Takuji Tachibana, Yukinori Nakamura, Kenji Sugimoto

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)


In this paper, we propose two power adjustment methods for cognitive radio networks. In the first algorithm, the transmitter derives the transmission power with PID control in order to satisfy the QoS constraints in secondary networks. The derived transmission power is compared with a constraint condition in order to avoid the interference with primary networks, and then the actual transmission power is decided. Because the constraint condition affects the performance of our proposed method significantly, we propose an effective update algorithm. On the other hand, the second algorithm is based on model predictive control (MPC). In this method, the decision of transmission power is formulated as quadratic programming (QP) problem and the transmission power is derived directly with the constraint condition. We evaluate the performances of our proposed methods with simulation and compare the proposed methods with the distributed power control (DPC) method. In numerical examples, we show that our proposed methods are more effective than the existing method in some situations. We also prove analytically that the interference with primary networks can be avoided with probability one by using our proposed method if each transmitter has the information about every channel gain.

Original languageEnglish
Pages (from-to)3344-3356
Number of pages13
JournalComputer Networks
Issue number17
Publication statusPublished - Dec 9 2013
Externally publishedYes


  • Cognitive radio networks
  • Distributed power adjustment
  • Interference avoidance
  • Model predictive control
  • PID control

ASJC Scopus subject areas

  • Computer Networks and Communications


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