Power Allocation Optimization in Selective DF Relaying With Different Modulation Levels in the Presence of Imperfect Channel Estimations

PROJECT TITLE :

Power Allocation Optimization in Selective DF Relaying With Different Modulation Levels in the Presence of Imperfect Channel Estimations

ABSTRACT:

In this paper, we concentrate on the systematic optimization of power allocation in a very selective relaying scheme with imperfect channel estimation in an exceedingly multi-relay decode-and-forward cooperative network in that the relays have the flexibility to employ a modulation level different than that of the source, whenever there’s a advantage. First, we have a tendency to get an asymptotic expression for the error probability in the presence of Gaussian imperfect channel estimations. Then, by using this expression, we have a tendency to derive the ability allocation scheme that minimizes the asymptotic error probability. We tend to show that the facility allocation problem will suitably be presented as a geometrical programming problem that’s solved by an economical convex programming technique. Finally, the derivations are confirmed through Monte Carlo simulations.

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