Adaptive Partial Decode-and-Forward Relaying with Quantized Feedback

In this paper, we propose two spectrally efficient adaptive partial decode-and-forward (DF) cooperative communication schemes with quantized feedback: adaptive partial repetition DF scheme and adaptive partial coded cooperation DF scheme. We assume that the relay node only has partial channel-state information, which is obtained via an quantized feedback link. We use the so-called mutual information (MI) model to adaptively optimize the amount of message transmitted by the relay node under a given block-error-rate constraint. We develop adaptive algorithms and implementation details for both schemes. Simulation results show that with the quantized feedback, the MI model can predict well the amount of message that needs to be transmitted by the relay node, and that the two proposed schemes can substantially increase the spectral efficiency of the system.