Analysis of Synchronization Schemes in OFDM-Based Cellular Cooperative Networks

, M.Sc. Thesis Sharif University of Technology Sharifi, Shahrouz (Author) ; Hossein Khalaj, Babak (Supervisor) ; Behrouzi, Hamid (Co-Advisor)

Abstract

In this thesis, the impact of both time offsets (TOs) and carrier frequency offsets (CFOs) on the average output signal-to-interference-plus-noise ratio (SINR) of OFDM systems is investigated with a novel and simple approach. First, TOs are partitioned into five cases based on how they occur. Then the mathematical models for different cases are derived. Considering CFOs and benefiting from the obtained models, closed-form expression for the SINR in each case is derived. It is proved that, SINR is independent of the observed subcarrier for the given TO and CFO. Besides, it is shown that the performance of the affected system deteriorates rapidly as the number of subcarriers increases. It is...

Inferring the Directionality of Coupling forTwo Time Series

, M.Sc. Thesis Sharif University of Technology Ekhtiari, Nikoo (Author) ; Rahimi Tabar, Mohammad Reza (Supervisor)

Abstract

The synchronization phenomena are abundant is science, nature, engineering, and social life. Systems as diverse as clocks, singing crickets, cardiac pacemakers, firing neurons, and applauding audiences exhibit a tendency to operate in synchrony. These phenomena are universal and can be understood within a common framework based on modern nonlinear dynamics. First chapter of this thesis describes the basic ideas of the synchronization in an intuitive way. The main physical concepts are presented with experimental examples.
One of the main effects of synchronization is the ability to infer the directionality of coupling for two time series. Uncovering the directionality of coupling is a...

Oscillators in Neural Networks

, M.Sc. Thesis Sharif University of Technology Khosravi Farsani, Mostafa (Author) ; Fotouhi Firouzabad, Morteza (Supervisor)

Abstract

In this Thesis, we investigate the Modeling of Oscillator Neural Networks. Let Oscillators are coupled to each other Weakly. agood way to use Phase Model to describe each Oscillator. Then provide specific Examples to see the nesseceryConditions forExsistence and Stability of Synchrony and desyncrony