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A Distributed Multi-Service Resource Allocation Algorithm in Heterogeneous Wireless Access Medium

TLDR
In this paper, radio resource allocation in a heterogeneous wireless access medium is studied and a novel algorithm is developed, such that each network base station / access point can perform its own resource allocation to support the MTs according to their service classes.
Abstract
In this paper, radio resource allocation in a heterogeneous wireless access medium is studied. Mobile terminals (MTs) are assumed to have multi-homing capabilities. Both constant bit rate and variable bit rate services are considered. A novel algorithm is developed for the resource allocation. Unlike existing solutions in literature, the proposed algorithm is distributed in nature, such that each network base station / access point can perform its own resource allocation to support the MTs according to their service classes. The coordination among different available wireless access networks' base stations is established via the MT multiple radio interfaces in order to provide the required bandwidth to each MT. A priority mechanism is employed, so that each network gives a higher priority on its resources to its own subscribers as compared to other users. Numerical results demonstrate the validity of the proposed algorithm.

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Cooperation in wireless communication networks

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References
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Journal ArticleDOI

A tutorial on decomposition methods for network utility maximization

TL;DR: This tutorial paper first reviews the basics of convexity, Lagrange duality, distributed subgradient method, Jacobi and Gauss-Seidel iterations, and implication of different time scales of variable updates, and introduces primal, dual, indirect, partial, and hierarchical decompositions, focusing on network utility maximization problem formulations.
Journal ArticleDOI

Layering as Optimization Decomposition: A Mathematical Theory of Network Architectures

TL;DR: A survey of the recent efforts towards a systematic understanding of layering as optimization decomposition can be found in this paper, where the overall communication network is modeled by a generalized network utility maximization problem, each layer corresponds to a decomposed subproblem, and the interfaces among layers are quantified as functions of the optimization variables coordinating the subproblems.

Layering as optimization decomposition: A mathematical theory of network architectures : There are various ways that network functionalities can be allocated to different layers and to different network elements, some being more desirable than others. The intellectual goal of the research surveyed by this article is to provide a theoretical foundation for these architectural decisions in networking

TL;DR: A survey of the recent efforts towards a systematic understanding of layering as optimization decomposition, where the overall communication network is modeled by a generalized network utility maximization problem, each layer corresponds to a decomposed subproblem, and the interfaces among layers are quantified as functions of the optimization variables coordinating the subproblems.
Journal ArticleDOI

An overview of vertical handover decision strategies in heterogeneous wireless networks

TL;DR: An overview of the most interesting and recent vertical handover decision strategies proposed in the literature recently is given, and they are classified into five categories for which they present their main characteristics.
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