Opendata, web and dolomites


scalaBle and grEen wireleSs coMmunications for a sustAinable netwoRked socieTy

Total Cost €


EC-Contrib. €






Project "BESMART" data sheet

The following table provides information about the project.


Organization address
postcode: 91192
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country France [FR]
 Project website
 Total cost 173˙076 €
 EC max contribution 173˙076 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2016
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2017
 Duration (year-month-day) from 2017-10-01   to  2019-09-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    CENTRALESUPELEC FR (GIF SUR YVETTE) coordinator 173˙076.00


 Project objective

The goal of the project is to develop energy-efficient and scalable designs for distributed mobile networks operated by renewable energy sources, and with very limited signaling overhead and computational complexity. The project will design wireless networks, composed by smart nodes, which are able to perform the following tasks:
 1)  Self-configure, autonomously allocating their own physical layer radio resources through energy-efficient, feedback-aware, and complexity-aware radio resource allocation.

2)  Self-sustain by harvesting energy from renewable and intermittent energy sources, such as solar and wind, as well as from dedicated radio frequency signals present over the air.

3)  Sharing or trading energy with other network nodes in order to prolong the lifetime of nodes which are low on battery and to obtain a more fair energy distribution across the whole network.
 The long-term vision of the project is to kick-start a paradigm shift from core-centric, throughput-optimized networks, towards device-centric, energy-optimized networks. The development of autonomous, energy-independent, and self-organizing wireless networks will enable:

a) 100% coverage in urban environments in a power efficient manner;

b) network coverage in remote/developing areas where currently it is commercially unattractive to do so.

These advancements will make the vision of a connected society sustainable, almost zeroing the operational expenses related to power and hence revolutionizing the business models for ICT by radically reducing energy costs. This will also facilitate the rise of new markets and applications in remote areas, which contributes to closing the digital divide between densely populated and scarcely populated or rural areas.


year authors and title journal last update
List of publications.
2018 Marco Di Renzo, Alessio Zappone, Thanh Tu Lam, Merouane Debbah
System-Level Modeling and Optimization of the Energy Efficiency in Cellular Networks—A Stochastic Geometry Framework
published pages: 2539-2556, ISSN: 1536-1276, DOI: 10.1109/TWC.2018.2797264
IEEE Transactions on Wireless Communications 17/4 2020-02-19
2018 A. Zappone, S. Atapattu, M. Di Renzo, J. Evans, M. Debbah
Energy-Efficient Relay Assignment and Power Control in Multi-User and Multi-Relay Networks
published pages: 1-1, ISSN: 2162-2337, DOI: 10.1109/LWC.2018.2860013
IEEE Wireless Communications Letters 2020-02-19
2018 Salvatore D\'Oro, Alessio Zappone, Sergio Palazzo, Marco Lops
A Learning Approach for Low-Complexity Optimization of Energy Efficiency in Multicarrier Wireless Networks
published pages: 3226-3241, ISSN: 1536-1276, DOI: 10.1109/TWC.2018.2808490
IEEE Transactions on Wireless Communications 17/5 2020-02-19
2018 Alessio Zappone, Luca Sanguinetti, Merouane Debbah
Energy-Delay Efficient Power Control in Wireless Networks
published pages: 418-431, ISSN: 0090-6778, DOI: 10.1109/TCOMM.2017.2755644
IEEE Transactions on Communications 66/1 2020-02-19

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The information about "BESMART" are provided by the European Opendata Portal: CORDIS opendata.

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