In this paper, we investigate maximum distance separable (MDS) codes based group coded caching in fog radio access networks (F-RANs). The goal is to minimize the average fronthaul rate under nonuniform file popularity. Firstly, an MDS codes and file grouping based coded placement scheme is proposed to provide coded packets and allocate more cache to the most popular files simultaneously. Next, a fog access point (F-AP) grouping based coded delivery scheme is proposed to meet the requests for files from different groups. Furthermore, a closed-form expression of the average fronthaul rate is derived. Finally, the parameters related to the proposed coded caching scheme are optimized to fully utilize the gains brought by MDS codes and file grouping. Simulation results show that our proposed scheme obtains significant performance improvement over several existing caching schemes in terms of fronthaul rate reduction.
翻译:在本文中,我们调查了雾无线电接入网络(F-RANs)中最大距离可分离(MDS)基于代码的组码编码缓存。目标是在非统一文件受欢迎程度下最大限度地降低平均前厅速率。首先,提出了基于MDS的编码和文件组合编码安置计划,以同时提供编码包和向最受欢迎的文件分配更多的缓存。接着,提议了一个基于雾存点(F-AP)的组码交付计划,以满足不同群体对文件的要求。此外,还提出了平均前厅速率的封闭式表达方式。最后,优化了与拟议的编码缓存计划有关的参数,以充分利用MDS代码和文件组合带来的收益。模拟结果表明,我们拟议的计划在降低前厅速率方面比现有的若干缓存计划取得了显著的绩效改进。