2012
DOI: 10.1186/1687-1499-2012-244
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Power spectrum optimization for interference mitigation via iterative function evaluation

Abstract: Power spectrum optimization is a well-known difficult nonconvex optimization problem for which only local optimality can typically be assured. This paper unifies several classes of local optimization methods and proposes efficient and new methods for power spectrum optimization by observing that methods for reaching the local optimal points can often be expressed in the form of an iterative function evaluation. This proposed new approach is based on the fact that the gradient of the objective function is zero … Show more

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Cited by 17 publications
(23 citation statements)
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“…This leads to an algorithm called full-IFEM in [1]. In this paper, we call it IFEM-1 for the sake of comparing it with the new algorithms.…”
Section: A Ifemsmentioning
confidence: 99%
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“…This leads to an algorithm called full-IFEM in [1]. In this paper, we call it IFEM-1 for the sake of comparing it with the new algorithms.…”
Section: A Ifemsmentioning
confidence: 99%
“…Similar to our previous work [1], this paper adopts a network utility maximization framework with an objective of maximizing the proportionally fair log utility function of the long-term average rate:…”
Section: B Problem Formulationmentioning
confidence: 99%
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