Student: 

Karim Ibrahim Khashaba

Advisor:
Prof. Dr.-Ing. Werner Henkel

Time frame:
Spring 2007

 

 

 

 

Description:

This thesis examines the benefits of using adaptive modulation in terms of bit error probability. Specifically, we examine the performance enhancement made possible by using linear prediction along with channel estimation in conjunction with adaptive modulation. We begin this report with basic fundamentals, followed by a detailed view of simulations, their results, and our conclusions from them. The study includes simulations in Rayleigh fading channels. We present our findings regarding the advantages of using predictive measures to foresee the state of the channel and make adjustments to transmissions accordingly. Unlike most channel prediction algorithms this report presents a new algorithm that not only predicts the channel in time but focuses on how much in advance the channel can be predicted. By the end of this work, we should have a better understanding of when channel prediction is most valuable to adaptive modulation and when it is weakest, and how the performance of the prediction will degrade in harsh environments.

  • +Documents

    [Report] Bit-Allocation for Time-Variant Channels

 

Status: Completed