A5038688244- Advanced MIMO Systems Optimization
- Stability and Control of Uncertain Systems
- Advanced Control Systems Optimization
- Advanced Wireless Network Optimization
- Wireless Communication Security Techniques
- Energy Harvesting in Wireless Networks
- Control Systems and Identification
- Wireless Communication Networks Research
- Time Series Analysis and Forecasting
- Neural Networks and Applications
- Control and Stability of Dynamical Systems
- Advanced Control Systems Design
- Traffic Prediction and Management Techniques
Institute of Electronics, Computer and Telecommunication Engineering
2023-2024
Institute of Informatics and Telematics
2023-2024
Polytechnic University of Turin
2022
Federal University of São João del-Rei
2020-2022
This paper presents a review of the literature on network traffic prediction, while also serving as tutorial to topic. We examine works based autoregressive moving average models, like ARMA, ARIMA and SARIMA, well Artifical Neural Networks approaches, such RNN, LSTM, GRU, CNN. In all cases, we provide complete self-contained presentation mathematical foundations each technique, which allows reader get full understanding operation different proposed methods. Further, perform numerical...
Heterogeneous networks have emerged as a popular solution for accommodating the growing number of connected devices and increasing traffic demands in cellular networks. While offering broader coverage, higher capacity, lower latency, escalating energy consumption poses sustainability challenges. In this paper novel optimization approach orthogonal heterogeneous is proposed to minimize transmission power while respecting individual users' throughput constraints. The problem formulated mixed...
Heterogeneous networks have emerged as a popular solution for accommodating the growing number of connected devices and increasing traffic demands in cellular networks. While offering broader coverage, higher capacity, lower latency, escalating energy consumption poses sustainability challenges. In this paper novel optimization approach OFDMA heterogeneous is proposed to minimize transmission power while respecting individual users throughput constraints. The problem formulated mixed integer...
We propose an optimization problem to minimize the base stations transmission powers in OFDMA heterogeneous networks, while respecting users' individual throughput demands. The decision variables are working bandwidths, their association, and powers. To deal with wireless channel uncertainty, gains treated as random a log-normal distribution, leading non-convex chance constrained mixed-integer problem, which is then formulated Robust Geometric Program. efficacy of proposed method shown...
Abstract This paper presents new convex conditions to design robust and linear parameter varying (LPV) gains for continuous time‐varying systems subject saturating actuator energy bounded disturbances. The input‐to‐state stability are used controllers ensuring the minimization of ‐gain between disturbance input controlled output. Furthermore, optimization procedures maximize estimate region attraction, bound control signal as well, formulated. efficacy proposed methods is illustrated with...
This paper is concerned with the design of state-feedback controllers for Linear Parameter Varying (LPV) polynomial continuous-time systems. The vector field presents dependence on states. Two synthesis conditions are proposed, first one considers arbitrary rates variation in time-varying parameters, while second provides LPV that constructed based a smoothed approximation parameter. sum squares matrix decomposition employed to solve proposed conditions. L2 gain also considered give...
This paper addresses the state-feedback control problem for state-polynomial discrete- time linear parameter varying systems. The sum of squares formulation is employed to write conditions. Two approaches are presented, first one makes use Lyapunov function recover gain matrices, providing gains which may be rational in time- parameter, and state variables. second allows design concerning both time-varying Numerical experiments borrowed from literature illustrate efficacy proposed method.