Coded-Caching using Adaptive Transmission

TL;DR

This paper investigates how adaptive transmission strategies, including rate and power allocation, can enhance coded-caching networks by reducing peak backhaul load and improving successful transmission probability during high traffic periods.

Contribution

It introduces adaptive rate and power allocation schemes tailored for coded-caching networks to optimize successful transmission probability under high traffic conditions.

Findings

Adaptive schemes significantly improve successful transmission probability.

Message decoding and buffering schemes impact overall system performance.

Proper rate and power allocation are crucial for peak load reduction.

Abstract

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.