Two Dimensional Signal Spreading in UMTS LTE: Exploiting Time-Frequency Diversity to Increase Throughput

Two Dimensional Signal Spreading in UMTS LTE: Exploiting Time-Frequency Diversity to Increase Throughput

This paper proposes a two-dimensional spreading method in UMTS Long Term Evolution (LTE). Such method brings additional time-frequency diversity which is beneficial in terms of the ability to decode transmitted dat at the receiver side under multipath fading. Additional diversity is caused by the fact that chips of transmitted signals are spread with a Walsh-Hadamard spreading sequence over sev...

UMTS Capacity and Throughput Maximization for Different Spreading Factors

An analytical model for calculating capacity in multi-cell UMTS networks is presented. Capacity is maximized for different spreading factors and for perfect and imperfect power control. We also design and implement a local call admission control (CAC) algorithm which allows for the simulation of network throughput for different spreading factors and various mobility scenarios. The design of the...

Channel Estimation and Prediction in Umts Lte

The 3rd Generation Partnership Project (3GPP) currently works on developing the third generation (3G) mobile telecommunication system towards a future 4th generation system. The evolution of the current 3G UMTS system was given the name Long Term Evolution (LTE). This project fo-cuses on the downlink of the UMTS LTE, where orthogonal frequency division multiplexing (OFDM) is utilized as multipl...

LTE – The UMTS Long Term Evolution LTE – The UMTS Long Term Evolution From Theory to Practice Second Edition

A Time-Frequency approach for EEG signal segmentation

The record of human brain neural activities, namely electroencephalogram (EEG), is generally known as a non-stationary and nonlinear signal. In many applications, it is useful to divide the EEGs into segments within which the signals can be considered stationary. Combination of empirical mode decomposition (EMD) and Hilbert transform, called Hilbert-Huang transform (HHT), is a new and powerful ...