Study on power and rate control algorithm for cognitive wireless networks

  • Authors:
  • Qian Hu;Zhenzhou Tang

  • Affiliations:
  • College of Physics and Electronic Information, Wenzhou University, Wenzhou, China;College of Physics and Electronic Information, Wenzhou University, Wenzhou, China

  • Venue:
  • WSEAS TRANSACTIONS on COMMUNICATIONS
  • Year:
  • 2010

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Abstract

Rate control and power control are two important issues in cognitive radio networks. In this paper, three rate control strategies are first introduced, namely Dirty Paper Coding (DPC) strategy, Noise strategy, and Opportunistic Interference Cancellation (OIC) strategy. The achievable rates of the three strategies are also compared. Then, optimal power control algorithms are proposed, each corresponding to one rate control strategy. The algorithms achieve the maximum transmit rate for the cognitive user by appropriately controlling the transmit power on each subchannel under the interference temperature constraint of the primary user. Simulation results show that the proposed algorithms can dramatically improve the transmit rate of cognitive user.