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Incremental relaying is a communication technique enabling cooperative diversity in wireless networks. The relay forwards a correctly decoded packet only after getting the feedback that the destination failed to receive the data directly from the source. The authors model an incremental relaying protocol as a time-discrete finite-state Markov process and analyze its throughput performance in time-correlated radio channels with Rayleigh fading. They also determine two boundary cases: fully correlated and fully uncorrelated fading channel. The analysis shows that the throughput gains of incremental relaying to conventional Automatic Repeat-reQuest retransmission strongly depend on the channel correlation, relay position, and source-to-destination fading margin.
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