This paper presents an energy-efficient power allo- cation for relay-aided heterogeneous networks subject to coupling convex constraints, that make the problem at hand a generalized Nash equilibrium problem. The solution to the resource allocation problem is derived using a sequential penalty approach based on the advanced theory of quasi variational inequality, which allows the network to converge to its generalized Nash equilibrium in a distributed manner. The main feature of the proposed approach is its decomposability, which leads to a two-layer distributed algorithm with provable convergence.

Distributed energy-efficient power optimization for relay-aided heterogeneous networks

SANGUINETTI, LUCA;Giacomo Bacci
2014

Abstract

This paper presents an energy-efficient power allo- cation for relay-aided heterogeneous networks subject to coupling convex constraints, that make the problem at hand a generalized Nash equilibrium problem. The solution to the resource allocation problem is derived using a sequential penalty approach based on the advanced theory of quasi variational inequality, which allows the network to converge to its generalized Nash equilibrium in a distributed manner. The main feature of the proposed approach is its decomposability, which leads to a two-layer distributed algorithm with provable convergence.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11568/520075
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