Segment Training Based Individual Channel Estimation for One-Way Relay Network
In this paper, the authors design a segment training based individual channel estimation scheme in the classical three-node amplify-and-forward One-Way Relay Network (OWRN). They investigate the underlying power allocation at the relay to minimize the Mean-Square-Error (MSE) of the individual channel estimation and to maximize the Average Effective Signal-to-Noise Ratio (AESNR) of the data detection. The optimal/sub-optimal power allocation schemes are also derived for the two objectives. Extensive numerical results are provided to corroborate the proposed studies.