A New Algorithm for Weighted Proportional Fairness Based Spectrum Allocation of Cognitive Radios

  • Authors:

  • Tian Feng;Yang Zhen

  • Affiliations:

  • Nanjing University of Posts and Telecommunications, China;Nanjing University of Posts and Telecommunications, China

  • Venue:
  • SNPD '07 Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 01
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

Cognitive Radio can achieve dynamic spectrum access by spectrum sensing. The paper proposes a new scheme to share spectrum employing OFDMA-based Cognitive Radio. To show efficiency and fairness, the paper builds an Asymmetric-Nash-Bargain-Solution- Based utility function and implement a new spectrum sharing algorithm based on sensing contribution weighted proportional fairness through two-user bargaining. The simulation results show that the proposed approach is not only to achieve a fair and efficient allocation of spectrum resources but also to help maximizing the spectrum sensing.