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SEMINAR:Resource Allocation in Wireless Communication via Multiobjective

peaker: Mohammad Robat Mili

Title:   Resource Allocation in Wireless Communication via Multiobjective Optimization

Date/Time:  20 October 2021 / 13:40 - 14:30 PM

Zoom: Meeting ID

Abstract:  Current system design problems are mostly dealing with conflicting requirements, e.g., the need to increase the system throughput, while at the same time limiting the energy consumption and the end-to-end delay. A multi-objective optimization problem (MOOP) formulation, which focuses on the simultaneous optimization of two or more conflicting objective functions for which the most preferred solution needs to be chosen in the presence of tradeoffs between them, is one way to deal with such problems. Recently, several MOOP solutions have been proposed to observe the correlation between different objectives in wireless communications. In this presentation, we will show the different tradeoff among the performance parameters such as data rates, total power, energy efficiency and spectral efficiency using MOOP.

Bio:Mohammad Robat Mili received the PhD degree in electrical and electronic engineering from the University of Manchester, U.K. He held postdoctoral research positions at the Department of Telecommunications and Information Processing, Ghent University, Belgium and the Department of Electrical Engineering, Sharif University of Technology, Iran. His main research interests are in the area of design and analysis of wireless communication networks with particular focus on 5G and 6G cellular networks using mathematical methods such as optimization theory, game theory, and machine learning.