CV Lattes
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Unisinos. Unidade Acadêmica de Pesquisa e Pós-Graduação (Institutional affiliation from the last research proposal) Birthplace: Brazil
Cristiano Bonato Both is a professor in the Applied Computing Graduate Program at the University of Vale do Rio dos Sinos (UNISINOS), Brazil. He is a research fellow of the Brazilian National Council for Scientific and Technological Development (CNPq). Cristiano has experience coordinating several research projects funded by H2020 EU-Brazil, CNPq, FAPERGS, and RNP. His research focuses on wireless networks, Mobile technologies (RAN and 5GC), softwarization and virtualization technologies for telecommunication networks, and SDN-like solutions for IoT Low-Power Wide Area Network (LPWAN). Currently, he is involved with research activities on wireless networks, signal processing, computer network architecture, and software-defined networking publishing his scientific works in journals with high impact factors, such as IEEE Communication Magazine, IEEE Wireless Communications, IEEE Transactions on Vehicular Technology, Computer Networks Journal (Elsevier), etc. Moreover, Cristiano participates in several Technical Programme and Organizing Committees for worldwide conferences and congresses. (Source: Lattes Curriculum)
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5G networks will meet the different requirements of new services and applications, such as IoT, virtual/augmented reality, autonomous cars, and precision agrobusiness. To deal with this diversity, multiple modes of operation, provided by different wireless access technologies, have been defined. In addition, 5G networks are being developed under an intense softwarization process, characte…
The expected massive growth of mobile internet traffic in 5G mobile networks introduces the need to change the operators' networks. Such networks require a drastic transformation towards open, scalable and elastic ecosystems supporting new types of communication. The PORVIR-5G project will develop and demonstrate a programmable fronthaul and backhaul integrating wireless with optical-pack…
This Scientific Initiation fellow will carry out tasks related to requirements gathering activities, assist in designing and developing the 5G core integration solution with the different access networks and assist in planning solutions for the following work modules: MT1, MT4, and MT5. (AU)
This scientific initiation work plan presents the activities related to the development of experiments in real environments in the context of 5G network cores with a focus on Quality of Experience (QoE) guarantees. The fellow must use cloud computing orchestration tools (e.g., Kubernetes, Docker, etc.) to implement and simulate multidomain and multiapplication environments on the test inf…
This activity plan presents the tasks that will be developed by a Scientific Initiation (CI) fellow in the PORVIR-5G project. Over the course of 12 months, the student will assist in the implementation and evaluation of the proposed integration of Low-Power Wide-Area Networks (LPWAN) through virtualization and slicing of cellular networks. The final objective of the grant is a demonstrati…
(Only some records are available in English at this moment)
The objective of this work is to evaluate the programmable machine-to-machine mass communication model for IoT in LPWAN, giving a more scientific and robust character to the use of LPWAN technologies to the 5G networks. For this, the scholarship holder must review the previous work and compare it with the current literature, in order to refine and improve the quality of the previous prop…
This scientific initiation work plan presents activities related to the development of experiments in real environments in the context of network orchestration with a focus on Quality of Experience (QoE) guarantees in 5G networks. The student must employ Artificial Intelligence (AI) methods and techniques with the potential to assist in the QoE-oriented orchestration process in multi-doma…
This scientific initiation work plan presents the activities related to a study on network orchestration with focus on Quality of Experience (QoE) guarantees in the context of 5G networks. The student will place particular emphasis on Artificial Intelligence (AI) methods and techniques that can assist in the orchestration process, including both those that have already been proposed in th…
(Only some records are available in English at this moment)
| 2 / 2 | Ongoing research grants |
| 4 / 4 | Ongoing scholarships in Brazil |
| 4 / 4 | Completed scholarships in Brazil |
| 10 / 10 | All research grants and scholarships |
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