  Coded-caching is a promising technique to reduce the peak rate requirement of
backhaul links during high traffic periods. In this letter, we study the effect
of adaptive transmission on the performance of coded-caching based networks.
Particularly, concentrating on the reduction of backhaul peak load during the
high traffic periods, we develop adaptive rate and power allocation schemes
maximizing the network successful transmission probability, which is defined as
the probability of the event with all cache nodes decoding their intended
signals correctly. Moreover, we study the effect of different message decoding
and buffering schemes on the system performance. As we show, the performance of
coded-caching networks is considerably affected by rate/power allocation as
well as the message decoding/buffering schemes.
