Cooperative communications have received much attention recently, due to its ability to attain cooperation diversity. But when two nodes communicate via relays, it is difficult to get the perfect channel information, so relays must estimate their forward channel and backward channel in order to amplify the data to the destination. We investigate the effect of channel estimation error, and design the LMMSE estimator to estimate the channels, and also we consider the multi-relays to assist the whole system for training and data transmission. We propose the SNR gap ratio, outage probability, and the BER simulations for the analysis. Simulation shows that when using multi-relays, it can mitigate the effect of channel estimation errors in all of the amplify-and-forward (AF) scenarios.

Thesis (doctoral) - Universität, Marburg, 2007. / Includes bibliographical references and sources (p. 353-397)

Thesis (doctoral) - Universitat, Marburg, 2007. / Titre de l'écran-titre (visionné le Nov. 10, 2008). In Springer Link (Monographies électroniques). Versement en lot.