论文标题
雾无线电访问网络中的社会意识合作缓存
Social-aware Cooperative Caching in Fog Radio Access Networks
论文作者
论文摘要
在本文中，研究了FOG无线电访问网络（F-RAN）中的合作缓存问题，以共同优化传输延迟和能耗。利用雾接入点（F-APS）之间的潜在社会关系，我们首先提出了一个基于享乐联盟游戏（HCG）的聚类计划，以提高潜在的合作收益。然后，考虑到优化问题是非确定性的多项式硬性（NP-HARD），我们进一步提出了一种改进的基于萤火虫算法（FA）的合作缓存方案，该方案利用基于局部内容流行的突变策略来避免成熟的逆转。仿真结果表明，与基准相比，我们提出的方案可以有效地减少内容传递延迟和能源消耗。
In this paper, the cooperative caching problem in fog radio access networks (F-RANs) is investigated to jointly optimize the transmission delay and energy consumption. Exploiting the potential social relationships among fog access points (F-APs), we firstly propose a clustering scheme based on hedonic coalition game (HCG) to improve the potential cooperation gain. Then, considering that the optimization problem is non-deterministic polynomial hard (NP-hard), we further propose an improved firefly algorithm (FA) based cooperative caching scheme, which utilizes a mutation strategy based on local content popularity to avoid pre-mature convergence. Simulation results show that our proposed scheme can effectively reduce the content transmission delay and energy consumption in comparison with the baselines.
