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Interference Calculus [electronic resource] :A General Framework for Interference Management and Network Utility Optimization / by Martin Schubert, Holger Boche.

by Schubert, Martin [author.]; Boche, Holger [author.]; SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Foundations in Signal Processing, Communications and Networking: 7Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.Description: XII, 240p. 24 illus. online resource.ISBN: 9783642246210.Subject(s): Engineering | Mathematics | Systems theory | Telecommunication | Engineering | Communications Engineering, Networks | Systems Theory, Control | Complex Networks | Measure and Integration | Game Theory, Economics, Social and Behav. SciencesDDC classification: 621.382 Online resources: Click here to access online
Contents:
Systems of Coupled Interference Functions -- The Structure of Interference Functions and Comprehensive Sets -- Nash Bargaining and Proportional Fairness -- The Power Minimization Problem -- Max-Min Fairness.
In: Springer eBooksSummary: This book develops a mathematical framework for modeling and optimizing interference-coupled multiuser systems. At the core of this framework is the concept of general interference functions, which provides a simple means of characterizing interdependencies between users. The entire analysis builds on the two core axioms scale-invariance and monotonicity. The proposed network calculus has its roots in power control theory and wireless communications. It adds theoretical tools for analyzing the typical behavior of interference-coupled networks. In this way it complements existing game-theoretic approaches. The framework should also be viewed in conjunction with optimization theory. There is a fruitful interplay between the theory of interference functions and convex optimization theory. By jointly exploiting the properties of interference functions, it is possible to design algorithms that outperform general-purpose techniques that only exploit convexity. The title “network calculus” refers to the fact that the theory of interference functions constitutes a generic theoretical framework for the analysis of interference coupled systems. Certain operations within the framework are “closed”, that is, combinations of interference functions are interference functions again. Also, certain properties are preserved under such operations. This, provides a methodology for analyzing different multiuser performance measures that can be expressed as interference functions or combinations of interference functions.
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Systems of Coupled Interference Functions -- The Structure of Interference Functions and Comprehensive Sets -- Nash Bargaining and Proportional Fairness -- The Power Minimization Problem -- Max-Min Fairness.

This book develops a mathematical framework for modeling and optimizing interference-coupled multiuser systems. At the core of this framework is the concept of general interference functions, which provides a simple means of characterizing interdependencies between users. The entire analysis builds on the two core axioms scale-invariance and monotonicity. The proposed network calculus has its roots in power control theory and wireless communications. It adds theoretical tools for analyzing the typical behavior of interference-coupled networks. In this way it complements existing game-theoretic approaches. The framework should also be viewed in conjunction with optimization theory. There is a fruitful interplay between the theory of interference functions and convex optimization theory. By jointly exploiting the properties of interference functions, it is possible to design algorithms that outperform general-purpose techniques that only exploit convexity. The title “network calculus” refers to the fact that the theory of interference functions constitutes a generic theoretical framework for the analysis of interference coupled systems. Certain operations within the framework are “closed”, that is, combinations of interference functions are interference functions again. Also, certain properties are preserved under such operations. This, provides a methodology for analyzing different multiuser performance measures that can be expressed as interference functions or combinations of interference functions.

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