ACTHEON

Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016

The ACTHEON project is being financed by the Ministerio de Economía, Industria y Competitividad as part of the programa de estatal de investigación, desarrollo e innovación orientada a los retos de la sociedad.

The concern about energy consumption and energy efficiency as a paramount resource in the design and operation of telecommunication networks has emerged as a research challenge during recent years, as a result of the global coverage and massive penetration of information and communication technology (ICT). The challenge of reducing as much as possible the energy expenditure of ICT infrastructures has motivated the development of new, efficient operating procedures in many devices, networking equipment and network architectures, leading to a substantial reduction of the overall energy consumption without noticeable impact on their basic performance metrics. These mechanisms, however, have been usually added as an afterthought, a feature added to the normal operating state. In the next-generation networks envisioned today, the need for energy-efficient operating techniques must be an upfront design requirement, on the same level as other traditional design requirements.

In this research project we aim at innovating and devising the mechanisms, mathematical models and practical algorithms suitable for a substantial increase in the achievable energy savings in the ultra-dense data networks that will be installed during the next few years. Our approach combines three tools: optimization of the duty cycle, matched to the actual traffic load, in different types of devices; optimization of network-level algorithms, particularly routing and traffic aggregation schemes; and the proposal of anticipatory networking, i.e., the massive use of metering, sampling and data analysis techniques to predict the amount of resources needed in the network and to plan accordingly an optimal resource allocation. Specifically, the project will address these objectives:

  1. Design and assess energy-efficient algorithms based on the optimization of the duty cycle to the real traffic load, in several elements of ultra-dense networks (backhaul subnetwork, wireless access network, users’ terminals).
  2. Design and assess new energy-efficiency techniques by exploiting machine learning and pattern recognition of traffic and user mobility in the spatio-temporal domain.
  3. Design and evaluate global network algorithms for energy saving, particularly in the areas of efficient routing and optimal traffic aggregation using the capabilities provided by software defined networks.

The results of this project will bring a significant improvement over current energy consumptions standards in ultra dense networks, expected to reach up to 50%, and will be a step forward to make these networks able to operate with energy consumption genuinely proportional to the traffic load.

Laboratorio de Redes
Las redes son las personas

Publications

. Energy Efficient Power and Channel Allocation in Underlay Device to Multi Device Communications. In IEEE Transactions Communications, 2019.

PDF Project DOI

. Dynamic EEE Coalescing: Techniques and Bounds. In IEEE Transactions on Green Communications and Networking, 2019.

Preprint PDF Project DOI

. Matching SDN and Legacy Networking Hardware for Energy Efficiency and Bounded Delay. In Sensors, 2018, 2018.

PDF Project DOI

. Distributed Resource Allocation Approach For Device-to-Device Multicast Communications. In WiMob 2018, 2018.

Project DOI

. Matching-Theory-Based Resource Allocation for Underlay Device to Multi-Device Communications. In STWiMob 2018, 2018.

Project DOI

. QoS-aware Energy-Efficient Algorithms for Ethernet Link Aggregation in Software Defined Networks. In SoftCOM 2018, 2018.

Preprint Project Slides DOI

. An optimal dynamic sleeping control policy for single base stations in green cellular networks. In Journal of Network and Computer Applications, 2018.

Project DOI: 10.1016/j.jnca.2018.05.014

. Implementing Energy Saving Algorithms for Ethernet Link Aggregates with ONOS. In IEEE SDS 2018, 2018.

Preprint Project Slides DOI

Talks

Distributed Resource Allocation Approach For Device-to-Device Multicast Communications
Oct 16, 2018 11:00
Matching-Theory-Based Resource Allocation for Underlay Device to Multi-Device Communications
Oct 15, 2018 09:00
QoS-aware Energy-Efficient Algorithms for Ethernet Link Aggregation in Software Defined Networks
Sep 15, 2018 09:30
Implementing Energy Saving Algorithms for Ethernet Link Aggregates with ONOS
Feb 24, 2018 16:00