PhD defense of Mario Costa Levorato – 13 May 2022

13 May 2022

I will defend my thesis titled ‘Scheduling Optimization Applied to the Oil Industry’ this Friday, May 13th at 2 p.m. The presentation will be in English and will take place in a hybrid mode: at the Universidade Federal Fluminense (Brazil) and via video conference (Google Meet). The video link is: The jury will be composed of: Abstract: This thesis proposes new solution approaches for two important problems in the areas of energy, oil and gas, which involve uncertain input parameters.In the context of smart grids, the first problem addresses the reality of microgrids which trade energy with the main grid to either sell its production surplus (from renewable energy sources) or buy an additional amount to support local consumers’ demand. In this scenario, smart control devices are important elements, executing real-time energy scheduling according to fluctuations in production and consumption. As we might expect, the main grid’s power generation and supply becomes more unscheduled and risky as energy trading quantities oscillate over time. The first part of the work studies a flexible bilateral energy contract subscription framework, established between electricity suppliers and a client. The framework is coupled with a real-time command strategy (RTCS), suited for energy scheduling of Plus d'infos

Cornet Seminar – Naresh Modina – 13/05/2022

13 May 2022

In the context of team Cornet’s seminars, Naresh Modina (LIA) will present his research work on Multi Resource Allocation (MRA) for network slices with Multi-Level Fairness, on May 5, 2022, at 11:35 in the meeting room. Abstract: Network slicing is becoming the platform of choice for several applications and services. Nowadays most applications are virtualized to gain flexibility and portability. With network slicing, operators can create multiple network slices or tenants, which can be used for certain applications with specific requirements. Behind the network slicing, a slice expresses the need to access a precise service type, under a fully qualified set of computing and network requirements. Resource allocation decision encompasses a combination of different resource types (e.g., radio resource, CPU, memory, bandwidth). In this paper, we explore a differential pricing scheme that maximizes social welfare among slices as well as among end-users. To do so, we propose a pricing mechanism that makes fairness at multiple levels: fairness among slices and fairness among slice locations supported by each slice. Therefore, the proposed scheme is beneficial for both the slices and the end-users independent of their location. Additionally, we study the case where slices can manipulate their preferences to improve their utility. Plus d'infos

PhD defense of Sakil Ahmed Chowdhury – 4 May 2022

4 May 2022

Title: Three Branch Diversity Systems for Multi-Hop IoT Networks Date: May 4, 2022 at 7:30 pm Thesis Examination Committee: Abstract: Internet of Things (IoT) is an emerging technological paradigm connecting numerous smart objects for advanced applications ranging from home automation to industrial control to healthcare. The rapid development of wireless technologies and miniature embedded devices has enabled IoT systems for such applications, which have been deployed in a variety of environments. One of the factors limiting the performance of IoT devices is the multipath fading caused by reflectors and attenuators present in the environment where these devices are deployed. Leveraging polarization diversity is a well-known technique to mitigate the deep signal fades and depolarization effects caused by multipath. However, neither experimental validation of the performance of polarization diversity antenna with more than two branches nor the potency of existing antenna selection techniques on such antennas in practical scenarios has received much attention. The objectives of this dissertation are threefold. First, to demonstrate the efficacy of a tripolar antenna, which is specifically designed for IoT devices, in harsh environments through simulations and experimental data. Second, to develop antenna selection strategies to utilize polarized signals received at the antenna, considering the restrictions Plus d'infos