EMBRACE Associated Team

The EMBRACE project addresses the topic of designing efficient solutions for 5G networks taking into account human behavior, uncertainty, and heterogeneity of networking resources.

The divergence of mobile data traffic and data revenue growth is increasing the pressure on mobile network operators to find effective and efficient ways to handle the data traffic that is swamping their networks. Associated to this pressure, the planning and operation of mobile networks have been traditionally based on oversimplified models of demand. Thus, there is the concern that such demand models are not able to resist to the natural changes on the user behaviors along the time. The associated consequence is the development of models that underestimate the opportunities for cost minimization or maximization of the user satisfaction. In addition, resource allocation models and services orchestration models designed for the planning and operation of mobile networks have also made optimistic assumptions about the resource availability and synergies between the services, e.g., by assuming that the resources and operational services have low uncertainty or a simple average can properly describe them. While this could be a reasonable approach in the traditional mobile networks, it is inappropriate in the context of 5G networks.

All these factors are putting the human element in the foreground, making essential (1) to center the big data analytics around individuals and (2) to bring human’s behavior awareness to the design of resource management solutions, while coping with environmental uncertainties, the rapidly growing capacity requirements, and new pervasive demands.

The purpose of the EMBRACE Associated Team is to develop a coherent and feasible framework that will advance over the standard unrealistic resource allocation approach in a number of ways:

  1. First, the EMBRACE framework will highly rely on user context information. Context here includes information about the habits of a mobile user as well as about its current state, in terms of positioning data, content demand he/she generates, and wireless interactions. Moreover, the solutions defined in the project will make use of both individual context data and aggregate community context data.
  2. Second, the EMBRACE framework will properly represent uncertainty by employing more realistic assumptions on the resource availability. This will be achieved by input models that describe the user behavior and stochastic optimization models that deals with uncertainty.
  3. Third, the EMBRACE framework will be designed so as to comply with the existing mobile network heterogeneity, and consequently, to support realistic network requirements from the user side in terms of resource demands and realistic resource availability from the operator network side.


The original framework developed in the project is expected to significantly improve the utilization of resources and synergies between networking services at the core and edge of mobile wireless network, and also end-user device. The novelty brought by the EMBRACE framework lies in the fact that designed algorithms will leverage knowledge resulted from users behaviour, network heterogeneity, and uncertainty. The evaluation by simulation and practical experimentation will also be one of the key themes of EMBRACE.



Associated Team

The EMBRACE (lEveraging huMan Behavior for Resource AlloCation and services orchestration modEls) Associated Team is composed by members of the INFINE Inria Team-Project and by three Brazilian teams from three different Brazilian Universities. French team: Aline CARNEIRO VIANA, INRIA CR1 Habilitée,  principal investigator Cedric ADJIH, INRIA CR1 Guangshuo CHEN, PhD student Rafael COSTA, PhD Student …

Contacts EMBRACE

French Team Leader Name: Aline CARNEIRO VIANA, CR1 Habilitee Email: aline.viana__AT__inria.fr Phone: +33 1 72 92 59 42 (office), +33 (0)1 72 92 59 00 (reception) Office: 1063, 1st floor Address: Alan Turing building, INRIA Saclay – Ile de France, 1 rue Honore d’Estienne d’Orves. Campus de l’Ecole Polytechnique, 91120 Palaiseau, France Brazilian Team Leader Name: …

News and Activities

Activities 2018 Events and visits February 2018: 1-week visits at Inria of UFG, UTFPR parteners CoUrb 2018 participation, May 2018 EMBRACE partners will be at CoUrb 2018 workshop (2nd Urban Computing workshop), jointly organized with SBRC 2018 (most important Brazilian scientific event on computer networks and distributed systems) Aline C. Viana will be the keynote …

Publications EMBRACE

Journal papers Ivan O. Nunes, Clayson Celes, Pedro O. S. Vaz de Melo, Antonio A. F. Loureiro. GROUPS-NET: Group meetings aware routing in multi-hop D2D networks. Computer Networks, v. 127, p. 94-108, 2017. Ivan O. Nunes, Clayson Celes, Igor O. Nunes, Antonio A. F. Loureiro. Combining Spatial and Social Awareness in D2D Opportunistic Routing. IEEE …

Scientific assessment

First year: Research progress According to the objectives of the project, the first year of the EMBRACE project was mainly dedicated to the task “Data acquisition and characterization”. In particular, it was devoted to the acquisition and characterization of real-world data concerning the mobility, content demand and personality traits of smartphone mobile users. Inria has …