Spectrum Management in Multiuser Cognitive Wireless Networks: Optimality and Algorithm

@article{Tan2011SpectrumMI,
  title={Spectrum Management in Multiuser Cognitive Wireless Networks: Optimality and Algorithm},
  author={Chee Wei Tan and Shmuel Friedland and Steven H. Low},
  journal={IEEE Journal on Selected Areas in Communications},
  year={2011},
  volume={29},
  pages={421-430}
}
  • Chee Wei Tan, Shmuel Friedland, Steven H. Low
  • Published in
    IEEE Journal on Selected…
    2011
  • Computer Science
  • Spectrum management is used to improve performance in multiuser communication system, e.g., cognitive radio or femtocell networks, where multiuser interference can lead to data rate degradation. We study the nonconvex NP-hard problem of maximizing a weighted sum rate in a multiuser Gaussian interference channel by power control subject to affine power constraints. By exploiting the fact that this problem can be restated as an optimization problem with constraints that are spectral radii of… CONTINUE READING

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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 34 REFERENCES

    Convex Analysis and Global Optimization

    VIEW 7 EXCERPTS
    HIGHLY INFLUENTIAL

    I and J

    VIEW 4 EXCERPTS
    HIGHLY INFLUENTIAL

    Dynamic Spectrum Management: Complexity and Duality

    VIEW 5 EXCERPTS
    HIGHLY INFLUENTIAL

    Power Control By Geometric Programming

    VIEW 5 EXCERPTS
    HIGHLY INFLUENTIAL

    Cognitive radio: brain-empowered wireless communications

    • Simon Haykin
    • Computer Science
    • IEEE Journal on Selected Areas in Communications
    • 2005
    VIEW 7 EXCERPTS
    HIGHLY INFLUENTIAL

    and F

    • J. S. Pang, G. Scutari, D. P. Palomar
    • Facchinei. D esign of cognitive radio systems under temperature-interference c onstraints: A variational inequality approach.IEEE Trans. on Signal Processing, 58(6):3251–3271
    • 2010
    VIEW 3 EXCERPTS

    Bre aking spectrum gridlock with cognitive radios: An information theoretic p erspective

    • S. A. Jafar, S. Srinivasa, I. Maric, A. Goldsmith
    • Proc. of the IEEE, 97(5):894–914
    • 2009
    VIEW 1 EXCERPT