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Determining Aggregate Compatibility Using Dynamic Spectrum Consumption Models Via Global Optimization

Doug Altner (daltner***at***mitre.org)
Samuel Schmitz (sschmitz***at***mitre.org)
John A. Stine (jstine***at***mitre.org)
Jeff Snider (jsnider***at***mitre.org)

Abstract: Using a new model of spectrum consumption that is being adopted by the IEEE DySPAN-SC P1900.5.2 group, we introduce an algorithm for determining aggregate system compatibility in spectrum management---that is, calculating if a configuration of a dynamically changing system of transmitters and receivers will result in any device experiencing an undesirable level of interference. We show how this problem amounts to solving a series of nonlinear programs consisting of minimizing a non-convex, non-concave function over a non-convex region. We exploit the geometry of these NLPs to develop global optimization algorithms and prove that global optimal solutions can be found with less searching when all devices are omnidirectional.

Keywords: Aggregate Interference; Spectrum Management; Global Optimization; Nonlinear Programming

Category 1: Applications -- OR and Management Sciences (Telecommunications )

Category 2: Global Optimization (Applications )

Citation: In preparation for submission

Download: [PDF]

Entry Submitted: 01/16/2016
Entry Accepted: 01/17/2016
Entry Last Modified: 03/20/2016

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