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Distributed techniques for the management and operation of wireless cellular networks, sensor networks and the smart energy grid

Total activity: 17
Type of activity
Competitive project
Acronym
DISNET
Funding entity
MIN DE ECONOMIA Y COMPETITIVIDAD
Funding entity code
TEC2013-41315-R DISNET
Amount
297.176,00 €
Start date
2014-01-01
End date
2018-06-30
Keywords
algoritmos de difusión, cellular networks, convex optimization, diffusion algorithms, distributed optimization, game theory, optimización distribuida, red eléctrica inteligente, redes celulares de comunicaciones, redes de sensores, self-organizing techniques, sensor networks, smart energy grid, teoría de juegos, técnicas autoorganizativas, variational inequality, variational inequality theory
Abstract
Wireless cellular networks, sensor networks and the smart energy grid are examples of distributed networks consisting of a vast number of terminals
and/or entities whose operation demands continuous optimization. The complexity of the underlying problems in the design, management and operation
of these networks is overwhelming due to their multivariate nature and because the optimal solution generally entails information that is spread
throughout the network. Centralized optimization techniques are out of consideration in future networks due to their high complexity and lack of
scalability. Instead, distributed optimization allows for feasibility of optimal solutions, rendering opportunities to new services while guaranteeing an
overall network performance enhancement. Specifically, in wireless cellular networks, a distributed operation of small cells overlying macrocells will bring
advantages in terms of network capacity, energy saving and cloud computing capabilities; in sensor networks, a distributed decentralized operation
reduces network complexity, cost and power consumption, and increases scalability and robustness to node failures; and, finally, in the smart energy
grid, a distributed operation is fundamental in order to guarantee the privacy and autonomy of the consumers parcipating actively in the electricity
network optimization process.
Distributed techniques pose specific challenges to the design, operation and management of the network. Fully distributed networks aim at operating in a
completely decentralized self-organized way so that the entities of the network make decisions, solve problems and/or perform computations locally
without demanding extensive information flow, even sometimes with information exchange only among neighboring entities. When participating entities
do not pursue a common interest, distributed techniques may lead to self-interested solutions that might not be optimal from a network global
perspective. In some instances, entities should cooperate and even convey the required information to a hierarchically higher management unit for
coordination or to support the distributed solution.
DISNET aims at providing distributed solutions to some problems present in wireless cellular networks, sensor networks and the smart energy grid by
means of powerful mathematical tools such as convex optimization, stochastic programming, variational inequality theory in a game theoretical
framework, and diffusion/consensus based algorithms. The research group accumulates substantial background in all of them as proven by its
publications and research project history, and by the outcome of the previous MOSAIC TEC2010-19171 and COMONSENS Consolider Ingenio-2010
projects.
In particular, DISNET will address the next objectives:
- Design self-organizing and QoS-preserving radio resource management techniques for interference-limited cooperative small cell networks.
- Devise network optimization procedures for distributing workloads between the mobile terminal and across a cloud of small cell base stations in a
distributed yet cooperative way.
- Propose diffusion-based distributed algorithms for estimation of parameters in sensor networks.
- Study distributed demand-side management solutions for the smart energy grid while including specific modeling of the uncertainties of distributed
renewable sources and the stochastic nature of the users' demand.
Scope
Adm. Estat
Plan
Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016
Call year
2014
Funcding program
Programa Estatal de I+D+i Orientada a los Retos de la Sociedad
Funding call
Retos de Investigación: Proyectos de I+D+i
Grant institution
Gobierno De España. Ministerio De Economía Y Competitividad, Mineco

Participants

Scientific and technological production

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