Abstract
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. We 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. We 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-todestination
fading margin.
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