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On the Performance of Data Compression in Clustered Fog Radio Access Networks by Hu, Haonan; Jiang, Yan; Zhang, Jiliang; Zheng, Yanan; Chen, Qianbin; Zhang, Jie is a scholarly article available to read on EtoBox.

What is On the Performance of Data Compression in Clustered Fog Radio Access Networks about?

The fog-radio-access-network (F-RAN) has been proposed to address the strict latency requirements, which offloads computation tasks generated in user equipments (UEs) to the edge to reduce the processing latency. However, it incorporates the task transmission latency, which may become the bottleneck of latency requirements. Data compression (DC) has been considered as one of the promising techniques to reduce the transmission latency. By compressing the computation tasks before transmitting, the transmission delay is reduced due to the shrink transmitted data size, and the original computing task can be retrieved by employing data decompressing (DD) at the edge nodes or the centre cloud. Nevertheless, the DC and DD incorporate extra processing latency, and the latency performance has not been investigated in the large-scale DC-enabled F-RAN. Therefore, in this work, the successful data compression probability (SDCP) is defined to analyse the latency performance of the F-RAN. Moreover, to analyse the effect of compression offloading ratio (COR), a novel hybrid compression mode is proposed based on the queueing theory. Based on this, the closed-form result of SDCP in the large-scale

Author

Hu, Haonan; Jiang, Yan; Zhang, Jiliang; Zheng, Yanan; Chen, Qianbin; Zhang, Jie

Published

2022

Language

EN