TY - JOUR
T1 - Coded-Caching using Adaptive Transmission
AU - Makki, Behrooz
AU - Alouini, Mohamed-Slim
N1 - KAUST Repository Item: Exported on 2021-07-09
PY - 2021
Y1 - 2021
N2 - 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 average probability that the cache nodes decode 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.
AB - 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 average probability that the cache nodes decode 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.
UR - http://hdl.handle.net/10754/670090
UR - https://ieeexplore.ieee.org/document/9475988/
U2 - 10.1109/LWC.2021.3095294
DO - 10.1109/LWC.2021.3095294
M3 - Article
SN - 2162-2345
SP - 1
EP - 1
JO - IEEE Wireless Communications Letters
JF - IEEE Wireless Communications Letters
ER -