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Physical Layer Models

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Utility Maximization in Nonconvex Wireless Systems

Part of the book series: Foundations in Signal Processing, Communications and Networking ((SIGNAL,volume 5))

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Abstract

In the general model introduced in Chap. 2, the physical layer of a wireless communication system is described by a set of feasible physical layer parameter setups \(\mathcal{X}1\) and a rate function r that assigns a rate vector r(x1) to every feasible parameter setup \(\mathit{x}1 \in \mathcal{X}1\).

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Notes

  1. 1.

    Assuming that P ≥ 0.

  2. 2.

    The rate function is concave if h k  = 0 for all but one users. This case is of little interest as it basically corresponds to a single-user system.

  3. 3.

    The following parameters were used to generate the figure: \(P/{\sigma }^{2} = 10\), h 1 = (2, 1), h 2 = (1, 2).

  4. 4.

    Another benefit of using the distance in rate space as convergence criterion is that an examination of the continuity properties of f is not required. The function f is obviously not continuous at β0, and continuity at β > β0 is not obvious.

  5. 5.

    Corollary 4.1.9 requires \(\mathcal{X}D = \mathcal{X}{D}^{{\prime}}\).

  6. 6.

    Here, the term “efficient solution” refers to solution whose computational complexity is practically feasible for large K.

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© 2012 Springer-Verlag Berlin Heidelberg

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Brehmer, J. (2012). Physical Layer Models. In: Utility Maximization in Nonconvex Wireless Systems. Foundations in Signal Processing, Communications and Networking, vol 5. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17438-4_4

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  • DOI: https://doi.org/10.1007/978-3-642-17438-4_4

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17437-7

  • Online ISBN: 978-3-642-17438-4

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